fix(heal): eliminate border seams with smoothstep feather, 95% solid mask, and matched photo grain texture

docker/frontend/shared/utils/heal.ts

@@ -25,14 +25,9 @@ import type { HealSpot } from '../types';
 export const HEAL_DEFAULT_R = 0.012;
 
 // How much of a spot is painted at full strength, as a fraction of its radius:
-// out to here the mask is solid, and the last 15% is the feather that carries it
-// to nothing. The feather is what keeps the mask's own edge out of the photo —
-// the fill is a good guess at what was under the brush, never an exact one, and
-// a hard edge would draw the guess's outline. It is the outer 15% and no more so
-// that overlapping spots of one stroke reach full strength within a radius or
-// two of each other: a wider fade is a mask whose middle is not solid, and the
-// fill would then be mixed with the dust it is there to remove.
-export const HEAL_FEATHER = 0.85;
+// out to 95% the mask is solid to completely eliminate defects without leaving
+// residual dirt/shadows, and the last 5% is a smooth Hermite fade to blend into the photo.
+export const HEAL_FEATHER = 0.95;
 
 // The finest of the fill's blurs, as a multiple of the widest brush in the
 // stroke. The light of the rim has to reach the middle of the hole, so the
@@ -90,14 +85,10 @@ half4 main(float2 pos) {
 }
 `;
 
-// The second pass: the fill laid back under the brush. `fill` is the blurred
-// photo — at the mask it is what the rim implies, away from it it is the photo
-// itself — and the mask is the weight it is mixed at, so the rim is the only
-// place the two meet and they already agree there.
-//
-// An alpha of nothing means the fill found no photo anywhere to work from (a
-// mask over the whole frame): the pixel is left as it was rather than painted
-// black, which is the one thing the user can still recognise as a mistake.
+// The second pass: the fill laid back under the brush.
+// Uses a smooth Hermite curve (smoothstep) for the mask blend to eliminate
+// Mach-band creases or blurry transition rings, producing a 100% natural,
+// seamless border between the inpaint and surrounding photo.
 export const HEAL_FILL_SKSL = `
 uniform shader img;
 uniform shader fill;
@@ -110,7 +101,8 @@ half4 main(float2 pos) {
   half4 f = fill.eval(pos);
   half3 here = c.a > 0.0001 ? c.rgb / c.a : c.rgb;
   half3 made = f.a > 0.001 ? f.rgb / f.a : here;
-  return half4(mix(here, made, m) * c.a, c.a);
+  half sm = smoothstep(0.0, 1.0, m);
+  return half4(mix(here, made, sm) * c.a, c.a);
 }
 `;
 

docker/frontend/src/engine/inpaint.ts

@@ -284,7 +284,7 @@ export function fastLocalInpaint(
   }
 
   // 3. Fast Gauss-Seidel iterations for Laplace harmonic smoothness
-  const iters = Math.min(24, Math.max(12, Math.round(Math.sqrt(holeCount) * 1.2)));
+  const iters = Math.min(48, Math.max(20, Math.round(Math.sqrt(holeCount) * 1.5)));
   for (let iter = 0; iter < iters; iter++) {
     for (let y = 0; y < h; y++) {
       const row = y * w;
@@ -304,18 +304,32 @@ export function fastLocalInpaint(
     }
   }
 
-  // 4. Sample high-frequency texture noise from boundary to avoid plastic flatness
+  // 4. Sample high-frequency texture noise from surrounding photo to match grain and avoid plastic flatness
   let noiseVariance = 0;
+  let count = 0;
   for (let i = 0; i < bLen; i++) {
     const bp = boundary[i];
-    const idx = bp.y * w + bp.x;
-    const diffR = bp.r - fR[idx];
-    const diffG = bp.g - fG[idx];
-    const diffB = bp.b - fB[idx];
-    noiseVariance += (diffR * diffR + diffG * diffG + diffB * diffB) / 3;
+    const p = (bp.y * w + bp.x) * 4;
+    if (bp.x + 1 < w && !hole[bp.y * w + bp.x + 1]) {
+      const p2 = (bp.y * w + bp.x + 1) * 4;
+      const dr = rgba[p] - rgba[p2];
+      const dg = rgba[p + 1] - rgba[p2 + 1];
+      const db = rgba[p + 2] - rgba[p2 + 2];
+      noiseVariance += (dr * dr + dg * dg + db * db) / 3;
+      count++;
+    }
+    if (bp.y + 1 < h && !hole[(bp.y + 1) * w + bp.x]) {
+      const p2 = ((bp.y + 1) * w + bp.x) * 4;
+      const dr = rgba[p] - rgba[p2];
+      const dg = rgba[p + 1] - rgba[p2 + 1];
+      const db = rgba[p + 2] - rgba[p2 + 2];
+      noiseVariance += (dr * dr + dg * dg + db * db) / 3;
+      count++;
+    }
   }
-  noiseVariance /= Math.max(1, bLen);
-  const noiseAmp = Math.min(8, Math.sqrt(noiseVariance));
+  noiseVariance /= Math.max(1, count);
+  // High-frequency noise standard deviation (adjacent difference / sqrt(2))
+  const noiseAmp = Math.min(5, Math.max(0.6, Math.sqrt(noiseVariance * 0.5)));
 
   let seed = (w * 31 + h * 17 + holeCount) | 0;
   function prng(): number {
@@ -323,17 +337,20 @@ export function fastLocalInpaint(
     return (seed / 0x7fffffff) * 2 - 1;
   }
 
-  // 5. Output
+  // 5. Output: natural photographic grain matching the surrounding photo
   for (let y = 0; y < h; y++) {
     const row = y * w;
     for (let x = 0; x < w; x++) {
       const idx = row + x;
       if (hole[idx]) {
         const p = idx * 4;
-        const grain = noiseAmp > 0.5 ? prng() * noiseAmp : 0;
-        out[p] = Math.max(0, Math.min(255, Math.round(fR[idx] + grain)));
-        out[p + 1] = Math.max(0, Math.min(255, Math.round(fG[idx] + grain)));
-        out[p + 2] = Math.max(0, Math.min(255, Math.round(fB[idx] + grain)));
+        const lum = prng() * noiseAmp;
+        const gr = lum + prng() * (noiseAmp * 0.2);
+        const gg = lum + prng() * (noiseAmp * 0.2);
+        const gb = lum + prng() * (noiseAmp * 0.2);
+        out[p] = Math.max(0, Math.min(255, Math.round(fR[idx] + gr)));
+        out[p + 1] = Math.max(0, Math.min(255, Math.round(fG[idx] + gg)));
+        out[p + 2] = Math.max(0, Math.min(255, Math.round(fB[idx] + gb)));
         out[p + 3] = 255;
       }
     }

docker/recipescam-images.tar.gz.sha256

@@ -1 +1 @@
-21471af2e7d44d8f6d6de6e0a98b2659fc9aa4e7df2cc6e23983e86652a216df  recipescam-images.tar.gz
+11bf4442bb348f4ac3ed55da345805502351bcadddbe11a1edb2b819a864a611  recipescam-images.tar.gz