feat: SOTA sharpening tool with 3 methods and 7 presets (#56)

* feat(sharpening): add SharpenAdvancedOptions type for multi-method sharpening

* feat(sharpening): implement 3-method sharpen engine (adaptive, USM, high-pass)

* feat(sharpening): add dedicated API route with Zod validation

* feat(sharpening): register tool in constants, i18n, and suggested tools

* feat(sharpening): add settings UI with presets, methods, and advanced controls

* feat(sharpening): register tool in frontend registry with before-after display

---------

Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
This commit is contained in:
stirling-image
2026-04-13 19:12:09 +08:00
committed by GitHub
co-authored by stirling-image
parent a8c7b92ca5
commit 58cdbe50b4
11 changed files with 646 additions and 3 deletions
+2
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@@ -30,6 +30,7 @@ import { registerRemoveBackground } from "./remove-background.js";
import { registerReplaceColor } from "./replace-color.js";
import { registerResize } from "./resize.js";
import { registerRotate } from "./rotate.js";
import { registerSharpening } from "./sharpening.js";
import { registerSmartCrop } from "./smart-crop.js";
import { registerSplit } from "./split.js";
import { registerStitch } from "./stitch.js";
@@ -84,6 +85,7 @@ export async function registerToolRoutes(app: FastifyInstance): Promise<void> {
{ id: "strip-metadata", register: registerStripMetadata },
{ id: "edit-metadata", register: registerEditMetadata },
{ id: "color-adjustments", register: registerColorAdjustments },
{ id: "sharpening", register: registerSharpening },
// Watermark & Overlay
{ id: "watermark-text", register: registerWatermarkText },
+58
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@@ -0,0 +1,58 @@
import { sharpenAdvanced } from "@stirling-image/image-engine";
import type { FastifyInstance } from "fastify";
import sharp from "sharp";
import { z } from "zod";
import { resolveOutputFormat } from "../../lib/output-format.js";
import { createToolRoute } from "../tool-factory.js";
const settingsSchema = z.object({
method: z.enum(["adaptive", "unsharp-mask", "high-pass"]).default("adaptive"),
// Adaptive
sigma: z.number().min(0.5).max(10).default(1.0),
m1: z.number().min(0).max(10).default(1.0),
m2: z.number().min(0).max(20).default(3.0),
x1: z.number().min(0).max(10).default(2.0),
y2: z.number().min(0).max(50).default(12),
y3: z.number().min(0).max(50).default(20),
// Unsharp Mask
amount: z.number().min(0).max(500).default(100),
radius: z.number().min(0.1).max(5).default(1.0),
threshold: z.number().min(0).max(255).default(0),
// High-Pass
strength: z.number().min(0).max(100).default(50),
kernelSize: z.union([z.literal(3), z.literal(5)]).default(3),
// Noise reduction
denoise: z.enum(["off", "light", "medium", "strong"]).default("off"),
});
export function registerSharpening(app: FastifyInstance) {
createToolRoute(app, {
toolId: "sharpening",
settingsSchema,
process: async (inputBuffer, settings, filename) => {
const outputFormat = await resolveOutputFormat(inputBuffer, filename);
let image = sharp(inputBuffer);
image = await sharpenAdvanced(image, {
method: settings.method,
sigma: settings.sigma,
m1: settings.m1,
m2: settings.m2,
x1: settings.x1,
y2: settings.y2,
y3: settings.y3,
amount: settings.amount,
radius: settings.radius,
threshold: settings.threshold,
strength: settings.strength,
kernelSize: settings.kernelSize,
denoise: settings.denoise,
});
const buffer = await image
.toFormat(outputFormat.format, { quality: outputFormat.quality })
.toBuffer();
return { buffer, filename, contentType: outputFormat.contentType };
},
});
}