test: major coverage expansion — 18 new test files, ~830 new tests

Unit tests: 1354 → 1781 (+427)
- 11 new AI bridge module tests (packages/ai/ from 2/13 → 13/13 files)
- files-page-store (0% → full), pdf-to-image-store, features-store expanded
- saturation and edit-metadata image-engine operations
- analytics route, features route, web analytics lib, api-extended

Integration tests: ~2070 → 2320 (+250)
- 31 integration files expanded with branch-coverage-targeted tests
- progress.ts SSE endpoints (28% → comprehensive, +18 tests)
- gif-tools all modes (+18), pdf-to-image format variants (+13)
- Cross-format matrix expanded to 17 tools × 17 formats (467 tests)
- Adversarial: concurrent, memory pressure, unicode filenames, pipeline limits

E2E-Docker: +1020 lines across 6 spec files
- Info, colors, sharpening, base64, QR read, JXL/ICO/SVG formats
- Strip-metadata, image-enhancement, content-aware-resize expanded
- Batch pipelines, multi-format batches, HEIC input coverage

tests/integration/sharpening.test.ts

@@ -244,3 +244,60 @@ describe("Error handling", () => {
     expect(res.statusCode).toBe(400);
   });
 });
+
+// ── HEIC input handling ─────────────────────────────────────────
+describe("HEIC input", () => {
+  it("processes HEIC image with adaptive sharpening", async () => {
+    const HEIC = readFileSync(join(FIXTURES, "test-200x150.heic"));
+    const res = await postTool({ method: "adaptive" }, HEIC, "photo.heic", "image/heic");
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+    expect(result.downloadUrl).toBeDefined();
+  });
+});
+
+// ── Edge size inputs ────────────────────────────────────────────
+describe("Edge size inputs", () => {
+  it("processes 1x1 pixel image", async () => {
+    const TINY = readFileSync(join(FIXTURES, "test-1x1.png"));
+    const res = await postTool({ method: "adaptive" }, TINY, "tiny.png", "image/png");
+    expect(res.statusCode).toBe(200);
+  });
+
+  it("processes stress-large.jpg", async () => {
+    const LARGE = readFileSync(join(FIXTURES, "content", "stress-large.jpg"));
+    const res = await postTool(
+      { method: "unsharp-mask", amount: 150 },
+      LARGE,
+      "large.jpg",
+      "image/jpeg",
+    );
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+    expect(result.processedSize).toBeGreaterThan(0);
+  });
+});
+
+// ── Combined sharpening + denoise ───────────────────────────────
+describe("Combined sharpening + denoise", () => {
+  it("applies high-pass sharpening with strong denoise", async () => {
+    const res = await postTool({
+      method: "high-pass",
+      strength: 80,
+      kernelSize: 5,
+      denoise: "strong",
+    });
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+    expect(result.downloadUrl).toBeDefined();
+  });
+
+  it("applies adaptive sharpening with light denoise", async () => {
+    const res = await postTool({
+      method: "adaptive",
+      sigma: 1.5,
+      denoise: "light",
+    });
+    expect(res.statusCode).toBe(200);
+  });
+});