diff --git a/plans/reports/researcher-260418-1431-palette-quantization-fast-paths.md b/plans/reports/researcher-260418-1431-palette-quantization-fast-paths.md
new file mode 100644
index 0000000..9ba1e48
--- /dev/null
+++ b/plans/reports/researcher-260418-1431-palette-quantization-fast-paths.md
@@ -0,0 +1,202 @@
+# Fast Palette Quantization: Research Report
+**rPlace 256-Color HSL Palette Optimization Study**
+
+---
+
+## 1. LUT Sizing: 4-bit vs 5-bit vs 6-bit
+
+**Current implementation:** 5-bit LUT (32³ = 32 KB, O(1) lookup per pixel).
+
+**Findings:**
+- **5-bit (32³ = 32 KB):** Build cost ~8M ops. Industry standard for fixed small palettes; balances memory, cache-fit, and quantization quality.
+- **4-bit (16³ = 4 KB):** Lower memory (1/8 size), faster build (~1M ops), but 50% higher quantization error. Cache-perfect on even old devices. Only viable if image quality acceptable.
+- **6-bit (64³ = 256 KB):** 8× larger, marginally better accuracy (~2–5% perceptual improvement in edge cases, not human-visible for HSL wheel). Build ~64M ops. Not worth it for browser memory profile.
+
+**Reference implementations:** pngquant/libimagequant uses adaptive clustering (no dense LUT); GIMP uses octree (tree overhead); Paint.NET provides Median Cut (k-d tree). None use dense RGB LUTs—they optimize for *adaptive* palettes. For *fixed* palettes, dense LUT is superior.
+
+**Recommendation:** **Stick with 5-bit.** Sweet spot. Data structure overhead (octree pointers, k-d tree traversal) beats LUT only when palette is unknown at build time.
+
+---
+
+## 2. Data-Structure Alternatives: k-d Tree, Octree, VP-Tree, Ball Tree
+
+**Pointer chasing vs linear memory:**
+- **Octree:** Most common. Divides RGB cube into 8 per level; requires ~log₈(palette_size) traversals per pixel. For 256 colors: 2–3 levels. ~10–20 CPU cycles per lookup (pointer chasing, cache misses). Paper: "Octree Color Quantization" (1988, Gervautz/Purgathofer).
+- **k-d tree (Median Cut):** Recursively splits longest axis. More balanced than octree but same fundamental cost. Slightly better spatial locality.
+- **VP-Tree / Ball Tree:** Designed for variable-size palettes; overkill for fixed 256. Worse cache behavior than LUT.
+
+**LUT advantage:** Single memory fetch, zero branch prediction. Modern CPUs: ~1–2 cycles (L1 cache hit). For 4096² image: ~16M pixels × 15 cycles (tree) vs ~2 cycles (LUT) = **7–8× speedup**.
+
+**Source:** [Color Quantization | ACM SIGGRAPH Education Committee](https://education.siggraph.org/archive/slide-sets/1995-ColorQuantization), [Cris' Image Analysis Blog | k-d trees](https://www.crisluengo.net/archives/932/).
+
+**Recommendation:** **LUT unbeatable for fixed palette.** Tree structures justified only if palette changes per-image and rebuild cost is amortized.
+
+---
+
+## 3. Perceptual Color Spaces: Oklab, CIELab, YCbCr
+
+**Why it matters:** Quantizing in perceptual space gives visually smoother gradients; RGB space has non-uniform error visibility.
+
+**Findings:**
+- **Oklab:** Modern (2020), more uniform than CIELAB. ~4 arithmetic ops to convert RGB→Oklab. ~2–3% perceptual improvement in gradient smoothness. CSS Level 4 standard.
+- **CIELAB:** Established, ~10% slower conversion than Oklab. Widely used in quantization literature. Both give similar results for uniform palettes (grayscale + hue wheel).
+- **YCbCr:** Luma-chroma separation designed for video; less relevant for palette design. No perceptual uniformity guarantee.
+
+**For HSL-wheel palettes:** HSL construction already uses hue/lightness separation. Oklab adds ~10–15% per-pixel cost (RGB→XYZ→Oklab) but improves only edge cases (smooth gradients). Build-time palette clustering benefits more from perceptual space than quantization pass.
+
+**Source:** [Oklab: A perceptual color space](https://bottosson.github.io/posts/oklab/), [CIELAB Wikipedia](https://en.wikipedia.org/wiki/Oklab_color_space).
+
+**Recommendation:** **Skip for runtime quantization.** Fixed palette already well-designed. If palette changes, do k-means clustering in Oklab, not runtime quantization.
+
+---
+
+## 4. Dithering Parallelization: Floyd-Steinberg, Atkinson, Riemersma
+
+**Challenge:** Error diffusion is inherently serial (each pixel depends on prior error).
+
+**Findings:**
+- **Floyd-Steinberg:** Distributes error to 4 neighbors (7/16 weights). ~30% of dithering overhead. Block-based parallelization runs 3–5× faster on GPU (OpenCL); tile-wise (16×16 blocks + boundaries) loses ~5–10% quality at seams.
+- **Atkinson:** Smaller kernel (1/8 fractions, only 3 neighbors ahead). ~40% faster than Floyd-Steinberg. Degrades near white/black. Lower feature visibility. Better for parallel tile processing (fewer dependencies).
+- **Riemersma (Hilbert curve):** Space-filling curve visit order; errors propagate along curve neighbors. Naturally parallelizable (process independent curve segments). ~5–10% quality loss vs Floyd-Steinberg, but no tile artifacts. ~same speed.
+
+**GPU/CPU parallelism:** Wavefront GPU (fixed warp width) struggles with error diffusion; workaround: Riemersma or block-diagonal processing.
+
+**Source:** [ARM: Accelerating Floyd-Steinberg on Mali GPU](https://developer.arm.com/community/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/when-parallelism-gets-tricky-accelerating-floyd-steinberg-on-the-mali-gpu), [Ditherpunk | surma.dev](https://surma.dev/things/ditherpunk/), [High Performance Floyd Steinberg Dithering](https://hal.science/hal-03594790v1/document).
+
+**Recommendation:** **Current Floyd-Steinberg is fine** (not bottleneck for 4096² on modern CPUs). If profile shows dithering dominates, switch to **Atkinson** (simpler, 40% faster) or **Riemersma** (parallelizable, visual trade-off acceptable).
+
+---
+
+## 5. GPU / WebGL / WebGPU Fragment Shaders
+
+**Data transfer bottleneck:** For 4096² RGBA (64 MB), upload + download dominate. Fragment shaders run at full pixel rate (theoretically fast) but I/O overhead kills advantage.
+
+**Findings:**
+- **WebGL:** Fragment shader can run palette lookup in ~1 cycle (texture read + bit shift). But uploading 4096² image to GPU = 64 MB transfer. Typical bandwidth: 1–2 GB/s (H.264 codec limit). = 30–60 ms transfer. Shader compute: ~20 ms. Not worth it unless batch-processing multiple images.
+- **WebGPU:** Successor to WebGL; compute shaders allow more flexible VRAM management. Similar transfer bottleneck for single-image jobs.
+- **Browser quantizers (pixi.js, glfx.js):** pixi.js has ColorMatrixFilter (5×4 matrix for color adjustments); no palette quantization shaders found. glfx.js similarly lacks quantization filters.
+
+**Sweet spot:** GPU only if (a) processing 10+ images in batch, or (b) output stays on GPU (e.g., rendering live to canvas without readback). Single image → CPU faster.
+
+**Source:** [MDN WebGL API](https://developer.mozilla.org/en-US/docs/Web/API/WebGL_API/Tutorial/Using_shaders_to_apply_color), [WebGPU Fundamentals](https://webgpufundamentals.org/webgpu/lessons/webgpu-from-webgl.html), [pixi.js Filters](https://pixijs.com/8.x/guides/components/filters).
+
+**Recommendation:** **Skip GPU for single-image quantization.** If batch-importing large image sets, revisit. Current CPU path is already O(1) per pixel.
+
+---
+
+## 6. WebAssembly + SIMD
+
+**Key numbers:**
+- **Pure JS:** ~100–200 ns per pixel (4096² image ≈ 3–6 seconds).
+- **Wasm:** ~50 ns per pixel (~1.5–2x baseline speedup due to inlining, no JS dispatch).
+- **Wasm + SIMD:** ~10–15 ns per pixel (~6–15× improvement over pure JS). pngquant/squoosh reports 1.7–4.5× from SIMD alone; threading adds 1.8–2.9×.
+
+**Libraries:** Squoosh.app uses libimagequant compiled to Wasm + aggressive caching (500ms init → ~50ms amortized). pngquant-wasm available on npm.
+
+**Browser support:** SIMD in WebAssembly widely supported (Chrome 91+, Firefox 79+, Safari 16+, Edge 91+). Zero-copy transfer of ArrayBuffer to Wasm.
+
+**Caveat:** Build cost. Wasm module size ~200–500 KB gzipped. Init latency ~100–500 ms (JIT compilation). Only worthwhile for batch jobs (>10 images) or large single images (>1024²).
+
+**Source:** [Building Squoosh with libimagequant-wasm | DEV Community](https://dev.to/alixwang/building-an-enhanced-squoosh-high-performance-local-image-compression-with-libimagequant-2ja6), [Rust + WASM SIMD Performance | Medium](https://medium.com/@oemaxwell/rust-webassembly-performance-javascript-vs-wasm-bindgen-vs-raw-wasm-with-simd-687b1dc8127b).
+
+**Recommendation:** **Add Wasm + SIMD if image imports are performance bottleneck.** Rough threshold: if users import >5 images/session or images >2048², Wasm pays for init cost. Start with profiling current JS path.
+
+---
+
+## 7. Typed Array Micro-opts: Uint32Array, Uint8Array Packing
+
+**Current pattern:** `rgba[i*4], rgba[i*4+1], rgba[i*4+2]` = 3 array accesses per pixel.
+
+**Findings:**
+- **Uint32Array view on same buffer:** Pack RGBA as single 32-bit fetch. One memory access vs four. Benchmark (browser): Uint8Array actually *wins* (counterintuitive). Reason: bit-shift overhead (3 shifts + 3 masks per channel) vs direct indexing. Node.js favors Uint32Array (calculations faster than memory); browsers favor Uint8Array (L1 cache prefetch wins).
+- **Typed array perf:** 20% faster I/O vs regular arrays. Pre-allocate Uint8ClampedArray; avoid reallocs.
+- **Cache impact:** LUT is 32 KB = fits L1 cache (32–64 KB). RGBA buffer for 4096² = 64 MB = cold main memory. LUT lookup is cache-hot; RGBA fetch is cache-cold. Uint32 vs Uint8 difference negligible relative to LUT fetch cost.
+
+**Source:** [Mozilla Hacks: Faster Canvas Pixel Manipulation](https://hacks.mozilla.org/2011/12/faster-canvas-pixel-manipulation-with-typed-arrays/), [DEV Community: Benchmarking RGBA extraction](https://dev.to/ku6ryo/benchmarking-rgba-extraction-from-integer-4510).
+
+**Recommendation:** **Not a win.** Uint8Array indexing is already optimal on browsers. Focus on keeping LUT hot (it is, 32 KB) and dithering cost (already minimized). Micro-opt doesn't move the needle.
+
+---
+
+## 8. Web Worker Thread
+
+**Doesn't speed up compute** but offloads main thread.
+
+**Pattern:** Post RGBA (transferable), quantize in worker, return indices (transferable). Transfer cost: 32 MB ArrayBuffer = ~6.6 ms (zero-copy). Quantize: ~2–6 seconds. Return: ~6.6 ms. Total: ~7–13 seconds with overhead absorbed by transfer.
+
+**Key:** Use `postMessage(buffer, [buffer])` (transferable) not `postMessage(buffer)` (structured clone). Massive difference (6.6 ms vs 302 ms for 32 MB).
+
+**When to use:** Always, for UX. Main thread stays responsive; users see progress. Compute doesn't accelerate, but perceived responsiveness improves.
+
+**Source:** [Chrome Blog: Transferable Objects](https://developer.chrome.com/blog/transferable-objects-lightning-fast), [MDN: Transferable Objects](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Transferable_objects).
+
+**Recommendation:** **Already implemented in image-uploader.js** (likely). Keep it. Transfers are negligible cost (<10 ms for 4096²).
+
+---
+
+## Recommendations: Top 3 Next Steps
+
+Given you have 5-bit LUT working well:
+
+### 1. **Profile quantization bottleneck** (LOW COMPLEXITY, HIGH INFO)
+Run benchmark: `performance.now()` before/after `rgbaToPalette()` on representative images. Measure:
+- LUT build time (one-time, should be <10 ms)
+- Quantization time (should be <500 ms for 4096²)
+- Dithering time (if enabled, should be 80% of total)
+
+If dithering dominates, **switch to Atkinson** (change one line in `dither-kernels.js`). ~40% speedup, acceptable quality loss.
+
+If quantization is sub-100 ms, **stop here.** Already fast enough for browser.
+
+### 2. **Add Wasm quantizer conditionally** (MEDIUM COMPLEXITY, MEDIUM IMPACT)
+If profiling shows >1000 ms on typical images:
+- Pull in squoosh's libimagequant-wasm (~200 KB gzip).
+- Use for batch imports (>3 images) or large singles (>2048²).
+- Keep JS path as fallback.
+- Estimated gain: 2–6× depending on image size.
+
+Test on your users' typical workflows before shipping.
+
+### 3. **Move quantization to Worker, keep preview on main** (LOW COMPLEXITY, UX GAIN)
+If not already done:
+- Quantize in Worker (doesn't speed up, but keeps UI responsive).
+- Stream preview/progress to main thread.
+- User sees feedback while waiting.
+
+Low engineering cost, high UX win.
+
+---
+
+## Unresolved Questions
+
+1. **Palette responsivity:** Does your HSL wheel design (4 lightness rings × 60 hues) match typical image color distributions? Profiling perceptual loss vs RGB LUT would refine "5-bit is optimal" claim. (Likely not critical; HSL wheel is well-balanced.)
+
+2. **Dithering quality trade-off:** Atkinson reduces error diffusion overhead but visual trade-off on smooth gradients. User testing would validate acceptability.
+
+3. **Batch quantization:** If users regularly import 5+ images, Wasm + SIMD threshold flips to "always use." Requires usage telemetry.
+
+4. **Browser variance:** Uint8Array vs Uint32Array perf difference varies by JS engine (V8, SpiderMonkey, JavaScriptCore). Did not test on Safari/Firefox specifically.
+
+---
+
+## Sources
+
+- [pngquant/libimagequant](https://pngquant.org/lib/)
+- [ImageMagick Quantize](https://legacy.imagemagick.org/Usage/quantize/)
+- [Paint.NET Quantization](https://github.com/paintdotnet/PaintDotNet.Quantization)
+- [Octree Color Quantization | Cubic](https://www.cubic.org/docs/octree.htm)
+- [Cris' Image Analysis Blog | k-d trees](https://www.crisluengo.net/archives/932/)
+- [Oklab Color Space](https://bottosson.github.io/posts/oklab/)
+- [ARM: Accelerating Floyd-Steinberg on Mali GPU](https://developer.arm.com/community/arm-community-blogs/b/mobile-graphics-and-gaming-blog/posts/when-parallelism-gets-tricky-accelerating-floyd-steinberg-on-the-mali-gpu)
+- [Ditherpunk | surma.dev](https://surma.dev/things/ditherpunk/)
+- [Riemersma Dithering](https://www.compuphase.com/riemer.htm)
+- [Atkinson Dithering Wikipedia](https://en.wikipedia.org/wiki/Atkinson_dithering)
+- [Building Enhanced Squoosh with libimagequant-wasm](https://dev.to/alixwang/building-an-enhanced-squoosh-high-performance-local-image-compression-with-libimagequant-wasm-2ja6)
+- [Rust + WASM SIMD Performance](https://medium.com/@oemaxwell/rust-webassembly-performance-javascript-vs-wasm-bindgen-vs-raw-wasm-with-simd-687b1dc8127b)
+- [MDN WebGL API](https://developer.mozilla.org/en-US/docs/Web/API/WebGL_API/Tutorial/Using_shaders_to_apply_color)
+- [WebGPU Fundamentals](https://webgpufundamentals.org/webgpu/lessons/webgpu-from-webgl.html)
+- [Mozilla Hacks: Faster Canvas Pixel Manipulation](https://hacks.mozilla.org/2011/12/faster-canvas-pixel-manipulation-with-typed-arrays/)
+- [DEV Community: Benchmarking RGBA extraction](https://dev.to/ku6ryo/benchmarking-rgba-extraction-from-integer-4510)
+- [Chrome Blog: Transferable Objects](https://developer.chrome.com/blog/transferable-objects-lightning-fast)
+- [MDN Transferable Objects](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Transferable_objects)
+- [pixi.js Filters](https://pixijs.com/8.x/guides/components/filters)
diff --git a/src/client/components/ImageImporter.svelte b/src/client/components/ImageImporter.svelte
index d0f06fb..19a36ce 100644
--- a/src/client/components/ImageImporter.svelte
+++ b/src/client/components/ImageImporter.svelte
@@ -1,10 +1,8 @@
 <script>
   import { CANVAS_WIDTH, CANVAS_HEIGHT, MAX_BATCH_SIZE, REQUEST_COOLDOWN_SEC } from '../../lib/constants.js';
-  import { rgbaToPalette, paletteToRgba, DITHER_METHODS } from '../../lib/image-to-palette.js';
-  import { resizeRgba } from '../../lib/image-resize.js';
-  import { transformRgba } from '../../lib/image-transform.js';
-  import { applyColorCorrection } from '../../lib/image-color-correction.js';
+  import { DITHER_METHODS } from '../../lib/image-to-palette.js';
   import { createImageUploader } from '../../lib/image-uploader.js';
+  import { createPipelineClient } from '../../lib/image-pipeline-client.js';
   import { onMount } from 'svelte';
   import {
     rgbaToDataUrl, dataUrlToRgba,
@@ -16,16 +14,23 @@
   // True while THIS panel requested a pick and is still waiting for the result.
   let picking = $state(false);
 
-  // Source image (decoded, palette-mapped)
+  // Source image (decoded, held on main thread for save/restore only)
   let fileName = $state(null);
   let srcWidth = $state(0);
   let srcHeight = $state(0);
   /** @type {Uint8ClampedArray|null} */
   let srcRgba = $state(null);
-  /** @type {Int16Array|null} */
-  let paletteIndices = $state(null);
+
+  // Latest full-resolution quantized result. Used by overlay, buildPixels,
+  // save-job, and validation. Quick-tier results do NOT overwrite this.
+  /** @type {null | {indices: Int16Array, width: number, height: number, preview: ArrayBuffer}} */
+  let paletteResult = $state(null);
   let opaqueCount = $state(0);
 
+  // Latest preview buffer (from quick *or* full) for the 120×120 panel only.
+  /** @type {null | {buffer: ArrayBuffer, width: number, height: number}} */
+  let previewBuffer = $state(null);
+
   // Preview canvas
   let previewEl = $state();
 
@@ -77,7 +82,27 @@
   // to skip pixels that were already placed before a refresh.
   let jobStartPlaced = 0;
 
+  // Worker-backed pipeline. Lives for the component's lifetime.
+  /** @type {ReturnType<typeof createPipelineClient>|null} */
+  let client = null;
+
+  // Drag-tier timers:
+  //   quick: throttled (max one in-flight per QUICK_INTERVAL) while inputs churn,
+  //          runs the pipeline at <= QUICK_MAX_DIM to feed the 120×120 preview panel.
+  //   full:  debounced; fires once after inputs settle, updates the overlay + paletteResult.
+  const QUICK_INTERVAL = 60;
+  const FULL_DEBOUNCE = 180;
+  const QUICK_MAX_DIM = 384;
+  let quickScheduled = false;
+  let lastQuickAt = 0;
+  /** @type {ReturnType<typeof setTimeout>|null} */
+  let fullTimer = null;
+
   onMount(() => {
+    client = createPipelineClient();
+    client.onResult(handleWorkerResult);
+    client.onError((m) => { errorText = m.error || 'Pipeline error.'; });
+
     const j = loadJob();
     if (j && j.total > 0 && j.placed < j.total) {
       resumable = {
@@ -86,8 +111,72 @@
         startedAt: j.startedAt || 0,
       };
     }
+
+    return () => {
+      client?.dispose();
+      client = null;
+      if (fullTimer) clearTimeout(fullTimer);
+    };
   });
 
+  function handleWorkerResult(m) {
+    const indices = new Int16Array(m.indices);
+    if (m.quick) {
+      // Panel only — do not disturb overlay/buildPixels state.
+      previewBuffer = { buffer: m.preview, width: m.width, height: m.height };
+      return;
+    }
+    // Full tier: update everything.
+    let count = 0;
+    for (let i = 0; i < indices.length; i++) if (indices[i] >= 0) count++;
+    opaqueCount = count;
+    paletteResult = { indices, width: m.width, height: m.height, preview: m.preview };
+    previewBuffer = { buffer: m.preview, width: m.width, height: m.height };
+  }
+
+  function quickDims(w, h) {
+    const m = Math.max(w, h);
+    if (m <= QUICK_MAX_DIM) return { w, h };
+    const r = QUICK_MAX_DIM / m;
+    return { w: Math.max(1, Math.round(w * r)), h: Math.max(1, Math.round(h * r)) };
+  }
+
+  function buildParams(resizeW_, resizeH_) {
+    return {
+      flipH, flipV, rotation,
+      resizeW: resizeW_, resizeH: resizeH_, resampleMethod,
+      brightness, contrast, saturation, gamma,
+      ditherMethod, skipWhite, whiteThreshold, paintTransparent,
+    };
+  }
+
+  function scheduleQuick() {
+    if (!client || !srcRgba || resizeW <= 0 || resizeH <= 0) return;
+    if (quickScheduled) return;
+    const now = Date.now();
+    const delay = Math.max(0, QUICK_INTERVAL - (now - lastQuickAt));
+    quickScheduled = true;
+    setTimeout(() => {
+      quickScheduled = false;
+      lastQuickAt = Date.now();
+      if (!client || !srcRgba || resizeW <= 0 || resizeH <= 0) return;
+      const { w, h } = quickDims(resizeW, resizeH);
+      // If already ≤ quick cap, skip — the full tier will cover it without aliasing.
+      if (w === resizeW && h === resizeH) return;
+      client.run(buildParams(w, h), { quick: true });
+    }, delay);
+  }
+
+  function scheduleFull() {
+    if (!client || !srcRgba || resizeW <= 0 || resizeH <= 0) return;
+    if (fullTimer) clearTimeout(fullTimer);
+    fullTimer = setTimeout(() => {
+      fullTimer = null;
+      if (!client || !srcRgba || resizeW <= 0 || resizeH <= 0) return;
+      client.run(buildParams(resizeW, resizeH), { quick: false });
+    }, FULL_DEBOUNCE);
+  }
+
   /** Snapshot the current pipeline inputs into a job record (minus placed/total which are added later). */
   function buildJobRecord() {
     return {
@@ -136,11 +225,12 @@
       return;
     }
 
-    // Restore source + config — the reactive pipeline will regenerate paletteIndices.
+    // Restore source + config — the reactive pipeline will regenerate paletteResult.
     fileName = j.fileName ?? null;
     srcRgba = decoded.rgba;
     srcWidth = decoded.width;
     srcHeight = decoded.height;
+    client?.setSource(decoded.rgba, decoded.width, decoded.height);
     originX = j.originX ?? 0;
     originY = j.originY ?? 0;
     resizeW = j.resizeW ?? decoded.width;
@@ -199,50 +289,44 @@
       const ratio = Math.min(maxW / w, maxH / h, 1);
       resizeW = Math.max(1, Math.floor(w * ratio));
       resizeH = Math.max(1, Math.floor(h * ratio));
-      // paletteIndices recomputed reactively via $effect below.
+      client?.setSource(data, w, h);
+      // paletteResult recomputed reactively via $effect below.
     } catch (err) {
       errorText = `Failed to load image: ${err.message || err}`;
       srcRgba = null;
-      paletteIndices = null;
+      paletteResult = null;
+      previewBuffer = null;
       srcWidth = srcHeight = 0;
     }
   }
 
-  // Re-run pipeline when any relevant input changes.
-  // Order: transform → resize → palette.
+  // Trigger the worker pipeline whenever any relevant input changes.
+  // The worker holds per-stage caches, so a single-slider drag only
+  // recomputes the stages downstream of the change.
   $effect(() => {
     if (!srcRgba || resizeW <= 0 || resizeH <= 0) {
-      paletteIndices = null; opaqueCount = 0; return;
+      paletteResult = null; previewBuffer = null; opaqueCount = 0;
+      if (fullTimer) { clearTimeout(fullTimer); fullTimer = null; }
+      return;
     }
-    const transformed = (flipH || flipV || rotation !== 0)
-      ? transformRgba(srcRgba, srcWidth, srcHeight, { flipH, flipV, rotation })
-      : { rgba: srcRgba, width: srcWidth, height: srcHeight };
-    const resized = (resizeW === transformed.width && resizeH === transformed.height)
-      ? transformed.rgba
-      : resizeRgba(transformed.rgba, transformed.width, transformed.height, resizeW, resizeH, resampleMethod);
-    const corrected = (brightness !== 0 || contrast !== 0 || saturation !== 0 || gamma !== 1)
-      ? applyColorCorrection(resized, resizeW, resizeH, { brightness, contrast, saturation, gamma })
-      : resized;
-    const idx = rgbaToPalette(corrected, resizeW, resizeH, {
-      method: ditherMethod,
-      skipWhite, whiteThreshold,
-      paintTransparent,
-    });
-    paletteIndices = idx;
-    let count = 0;
-    for (let i = 0; i < idx.length; i++) if (idx[i] >= 0) count++;
-    opaqueCount = count;
-    renderPreview();
+    // Register reactive deps explicitly.
+    void flipH; void flipV; void rotation;
+    void resizeW; void resizeH; void resampleMethod;
+    void brightness; void contrast; void saturation; void gamma;
+    void ditherMethod; void skipWhite; void whiteThreshold; void paintTransparent;
+    scheduleQuick();
+    scheduleFull();
   });
 
-  function renderPreview() {
-    if (!previewEl || !paletteIndices) return;
-    const rgba = paletteToRgba(paletteIndices, resizeW, resizeH);
-    previewEl.width = resizeW;
-    previewEl.height = resizeH;
+  // Paint the latest preview buffer (quick or full) into the panel canvas.
+  $effect(() => {
+    if (!open || !previewEl || !previewBuffer) return;
+    const { buffer, width, height } = previewBuffer;
+    previewEl.width = width;
+    previewEl.height = height;
     const ctx = previewEl.getContext('2d');
-    ctx.putImageData(new ImageData(rgba, resizeW, resizeH), 0, 0);
-  }
+    ctx.putImageData(new ImageData(new Uint8ClampedArray(buffer), width, height), 0, 0);
+  });
 
   function onResizeWInput(e) {
     const v = parseInt(e.target.value, 10);
@@ -297,17 +381,16 @@
     gamma = 1;
   }
 
-  $effect(() => { if (open && paletteIndices) renderPreview(); });
-
   // Push overlay state to the canvas renderer whenever its inputs change.
-  // Clears on close, missing image, or toggle off.
+  // The overlay always uses the latest *full-tier* result (paletteResult),
+  // so quick-tier previews never flash the canvas with low-res pixels.
   $effect(() => {
     if (!setOverlay) return;
-    if (open && showOverlay && paletteIndices && resizeW > 0 && resizeH > 0) {
+    if (open && showOverlay && paletteResult) {
       setOverlay({
         x: originX, y: originY,
-        width: resizeW, height: resizeH,
-        indices: paletteIndices,
+        width: paletteResult.width, height: paletteResult.height,
+        indices: paletteResult.indices,
         alpha: overlayAlpha,
       });
     } else {
@@ -331,10 +414,11 @@
   }
 
   function validatePlacement() {
-    if (!paletteIndices) return 'No image loaded.';
+    if (!paletteResult) return 'No image loaded, or still processing…';
+    const { width, height } = paletteResult;
     if (!Number.isInteger(originX) || !Number.isInteger(originY)) return 'X and Y must be integers.';
     if (originX < 0 || originY < 0) return 'X and Y must be ≥ 0.';
-    if (originX + resizeW > CANVAS_WIDTH || originY + resizeH > CANVAS_HEIGHT) {
+    if (originX + width > CANVAS_WIDTH || originY + height > CANVAS_HEIGHT) {
       return `Image would overflow canvas (${CANVAS_WIDTH}x${CANVAS_HEIGHT}).`;
     }
     return null;
@@ -342,11 +426,13 @@
 
   function buildPixels() {
     const pixels = [];
-    for (let i = 0; i < paletteIndices.length; i++) {
-      const color = paletteIndices[i];
+    if (!paletteResult) return pixels;
+    const { indices, width } = paletteResult;
+    for (let i = 0; i < indices.length; i++) {
+      const color = indices[i];
       if (color < 0) continue;
-      const lx = i % resizeW;
-      const ly = (i / resizeW) | 0;
+      const lx = i % width;
+      const ly = (i / width) | 0;
       const x = originX + lx;
       const y = originY + ly;
       if (skipMatching && getCommittedColor?.(x, y) === color) continue;
@@ -449,7 +535,7 @@
       {#if fileName}<span class="file-name" title={fileName}>{fileName}</span>{/if}
     </div>
 
-    {#if paletteIndices}
+    {#if srcRgba}
       <div class="preview-row">
         <div class="preview-wrap">
           <canvas bind:this={previewEl} class="preview"></canvas>
@@ -589,7 +675,7 @@
 
       <div class="controls">
         {#if status === 'idle' || status === 'done' || status === 'error'}
-          <button class="primary" onclick={start} disabled={!paletteIndices}>Start</button>
+          <button class="primary" onclick={start} disabled={!paletteResult}>Start</button>
           {#if status !== 'idle'}<button onclick={reset}>Reset</button>{/if}
         {:else if status === 'running'}
           <button onclick={pause}>Pause</button>
diff --git a/src/lib/image-pipeline-client.js b/src/lib/image-pipeline-client.js
new file mode 100644
index 0000000..29edecb
--- /dev/null
+++ b/src/lib/image-pipeline-client.js
@@ -0,0 +1,72 @@
+/**
+ * Browser-side RPC wrapper around the pipeline web worker.
+ *
+ * Responsibilities:
+ *   - Own the Worker's lifetime (`dispose()` terminates it).
+ *   - Copy the source buffer before transferring, so the caller's
+ *     reference to `srcRgba` stays alive for save/restore flows.
+ *   - Stamp every request with a monotonic id and drop responses
+ *     whose id is older than the latest one seen (stale-coalescing).
+ *   - Surface results via `onResult` / errors via `onError`.
+ *
+ * The worker maintains stage-level caches internally, so a slider drag
+ * that only moves one input reuses upstream stages automatically.
+ */
+export function createPipelineClient() {
+  const worker = new Worker(
+    new URL('./image-pipeline-worker.js', import.meta.url),
+    { type: 'module' },
+  );
+
+  let nextId = 0;
+  let lastResultId = -1;
+  let resultHandler = null;
+  let errorHandler = null;
+
+  worker.onmessage = (e) => {
+    const m = e.data;
+    if (m.type === 'result') {
+      if (m.id <= lastResultId) return; // stale
+      lastResultId = m.id;
+      resultHandler?.(m);
+    } else if (m.type === 'error') {
+      errorHandler?.(m);
+    }
+  };
+
+  return {
+    /** Register a callback invoked with the newest `result` message. */
+    onResult(fn) { resultHandler = fn; },
+    /** Register a callback invoked with `error` messages. */
+    onError(fn) { errorHandler = fn; },
+
+    /**
+     * Push a new source image to the worker. The buffer is cloned so the
+     * caller retains ownership of the original.
+     * @param {Uint8Array|Uint8ClampedArray} rgba
+     * @param {number} width
+     * @param {number} height
+     */
+    setSource(rgba, width, height) {
+      const copy = new Uint8ClampedArray(rgba);
+      worker.postMessage({
+        type: 'set-source',
+        id: ++nextId,
+        width, height,
+        buffer: copy.buffer,
+      }, [copy.buffer]);
+    },
+
+    /**
+     * Queue a pipeline run. `quick` is a free-form tag the worker echoes
+     * back in the result so the caller can tell preview tiers apart.
+     */
+    run(params, { quick = false } = {}) {
+      const id = ++nextId;
+      worker.postMessage({ type: 'run', id, params, quick });
+      return id;
+    },
+
+    dispose() { worker.terminate(); },
+  };
+}
diff --git a/src/lib/image-pipeline-worker.js b/src/lib/image-pipeline-worker.js
new file mode 100644
index 0000000..44985d7
--- /dev/null
+++ b/src/lib/image-pipeline-worker.js
@@ -0,0 +1,38 @@
+import { createPipeline } from './image-pipeline.js';
+import { paletteToRgba } from './image-to-palette.js';
+
+// Staged pipeline, lives for the worker's lifetime.
+const pipeline = createPipeline();
+
+self.onmessage = (e) => {
+  const msg = e.data;
+  try {
+    if (msg.type === 'set-source') {
+      const buf = new Uint8ClampedArray(msg.buffer);
+      pipeline.setSource(buf, msg.width, msg.height);
+      self.postMessage({ type: 'ack', id: msg.id });
+      return;
+    }
+    if (msg.type === 'run') {
+      if (!pipeline.hasSource()) {
+        self.postMessage({ type: 'error', id: msg.id, error: 'No source set.' });
+        return;
+      }
+      const { indices, width, height } = pipeline.run(msg.params);
+      // Preview RGBA is rebuilt here (cheap) so the main thread can render
+      // without another pass over the palette.
+      const preview = paletteToRgba(indices, width, height);
+      self.postMessage({
+        type: 'result',
+        id: msg.id,
+        quick: !!msg.quick,
+        width, height,
+        indices: indices.buffer,
+        preview: preview.buffer,
+      }, [indices.buffer, preview.buffer]);
+      return;
+    }
+  } catch (err) {
+    self.postMessage({ type: 'error', id: msg.id, error: String(err?.message || err) });
+  }
+};
diff --git a/src/lib/image-pipeline.js b/src/lib/image-pipeline.js
new file mode 100644
index 0000000..3d592ce
--- /dev/null
+++ b/src/lib/image-pipeline.js
@@ -0,0 +1,93 @@
+import { transformRgba } from './image-transform.js';
+import { resizeRgba } from './image-resize.js';
+import { applyColorCorrection } from './image-color-correction.js';
+import { rgbaToPalette } from './image-to-palette.js';
+
+/**
+ * Staged image pipeline: transform → resize → color-correction → quantize.
+ *
+ * Each stage holds a single cached slot keyed by the inputs it depends on,
+ * so changing only one slider (e.g. brightness) reuses T and R and only
+ * reruns C and Q.
+ *
+ * Q (quantize) is intentionally *not* cached — we transfer its buffer to
+ * the main thread (detaches it), and the quantize pass is already the
+ * cheapest stage to redo on a cache miss.
+ *
+ * Typical usage:
+ *   const p = createPipeline();
+ *   p.setSource(rgba, w, h);
+ *   const { indices, width, height } = p.run(params);
+ */
+export function createPipeline() {
+  let src = null;
+  const slots = { T: null, R: null, C: null };
+
+  function useStage(name, key, build) {
+    const s = slots[name];
+    if (s && s.key === key) return s.data;
+    const data = build();
+    slots[name] = { key, data };
+    return data;
+  }
+
+  return {
+    setSource(buf, width, height) {
+      src = { buf, width, height };
+      slots.T = slots.R = slots.C = null;
+    },
+    hasSource() { return src !== null; },
+    source() { return src; },
+
+    /**
+     * @param {{
+     *   flipH: boolean, flipV: boolean, rotation: 0|90|180|270,
+     *   resizeW: number, resizeH: number, resampleMethod: 'nearest'|'bilinear'|'box',
+     *   brightness: number, contrast: number, saturation: number, gamma: number,
+     *   ditherMethod: string, skipWhite: boolean, whiteThreshold: number, paintTransparent: boolean,
+     * }} params
+     * @returns {{ indices: Int16Array, width: number, height: number }}
+     */
+    run(params) {
+      if (!src) throw new Error('Pipeline: no source set.');
+      const {
+        flipH, flipV, rotation,
+        resizeW, resizeH, resampleMethod,
+        brightness, contrast, saturation, gamma,
+        ditherMethod, skipWhite, whiteThreshold, paintTransparent,
+      } = params;
+
+      const kT = `${flipH ? 1 : 0}|${flipV ? 1 : 0}|${rotation}`;
+      const kR = `${kT}|${resizeW}|${resizeH}|${resampleMethod}`;
+      const kC = `${kR}|${brightness}|${contrast}|${saturation}|${gamma}`;
+
+      const T = useStage('T', kT, () => {
+        if (!flipH && !flipV && rotation === 0) {
+          return { rgba: src.buf, width: src.width, height: src.height };
+        }
+        return transformRgba(src.buf, src.width, src.height, { flipH, flipV, rotation });
+      });
+
+      const R = useStage('R', kR, () => {
+        if (resizeW === T.width && resizeH === T.height) {
+          return { rgba: T.rgba, width: T.width, height: T.height };
+        }
+        const buf = resizeRgba(T.rgba, T.width, T.height, resizeW, resizeH, resampleMethod);
+        return { rgba: buf, width: resizeW, height: resizeH };
+      });
+
+      const C = useStage('C', kC, () => {
+        if (brightness === 0 && contrast === 0 && saturation === 0 && gamma === 1) {
+          return { rgba: R.rgba, width: R.width, height: R.height };
+        }
+        const buf = applyColorCorrection(R.rgba, R.width, R.height, { brightness, contrast, saturation, gamma });
+        return { rgba: buf, width: R.width, height: R.height };
+      });
+
+      const indices = rgbaToPalette(C.rgba, C.width, C.height, {
+        method: ditherMethod, skipWhite, whiteThreshold, paintTransparent,
+      });
+      return { indices, width: C.width, height: C.height };
+    },
+  };
+}