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SKILL verified Apache-2.0 Self-run

Image Enhance

skill-zju-real-easel-image-enhance · by ZJU-REAL

图片增强 / 放大 / 变清晰:高质量放大(Lanczos 2x/4x)+ 去噪 + 锐化 + 自动对比度/饱和度,改善偏糊、偏暗、噪点多的图片。当用户说 图片放大、图片变清晰、提高清晰度、图片增强、去噪点、锐化、图片太糊了、放大到高清、提升画质、优化图片、图片调亮调色 时使用。基于 shared/scripts/img_enhance.py(Pillow+OpenCV)。注意:这是传统增强非 AI 超分,凭空生成细节请用 ai-image-gen 图生图。与 image-editing 区别:那个做缩放/裁切/水印等常规操作,本 SKILL 专做画质提升。

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Install

$ agentstack add skill-zju-real-easel-image-enhance

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

图片增强 / 放大

> 高质量放大 + 去噪 + 锐化 + 调色,改善偏糊/偏暗/有噪点的图片。走 > skills/shared/scripts/img_enhance.py

> ⚠️ 传统确定性增强,不是 AI 超分——能改善轻中度模糊/噪点,但无法凭空造细节。 > 要 AI 超分/重绘用 ai-image-gen(图生图)。常规缩放/裁切/压缩/水印见 image-editing

输入

| 字段 | 必填 | 说明 | |------|------|------| | 图片 | 是 | 要增强的图片(没给就问) | | 放大倍数 | 否 | 默认 2 倍;1 表示只增强不放大 | | 增强项 | 否 | 一键 --auto,或分别指定去噪/锐化/对比/饱和 |

输出(outputs/主题名/

  • 增强后的图片
  • 报告:原尺寸→新尺寸、执行了哪些增强

执行步骤

脚本路径(相对项目根):skills/shared/scripts/img_enhance.pyenhance -h 看参数)。

# 一键增强 + 2 倍放大(最常用)
python skills/shared/scripts/img_enhance.py enhance -i blurry.jpg \
  -o outputs/主题名/out.jpg --scale 2 --auto

# 噪点多的照片:去噪 + 4 倍 + 强锐化
python skills/shared/scripts/img_enhance.py enhance -i photo.jpg \
  -o outputs/主题名/out.png --scale 4 --denoise --sharpen 1.5

# 只调色不放大(偏暗/发灰的图)
python skills/shared/scripts/img_enhance.py enhance -i img.jpg \
  -o outputs/主题名/out.jpg --scale 1 --auto

调参

  • 还是糊:本工具无法造细节,改用 ai-image-gen 图生图超分。
  • 锐化过头有噪点/白边:降低 --sharpen(默认 auto=1.0)。
  • 颜色过饱和--saturation 1.0 关闭增色,或调低。
  • 噪点被放大:加 --denoise(放大前先去噪)。

规则

  1. 先设定预期:这是"改善"不是"重绘",糊得厉害的图别承诺变高清。
  2. 有噪点务必 --denoise(放大前执行,避免噪点被放大)。
  3. 放大统一用 Lanczos 高质量重采样;倍数别盲目开 4x(文件暴涨且无新细节)。
  4. 产物统一进 outputs/主题名/

参考来源

Lanczos 重采样 + UnsharpMask 锐化 + OpenCV fastNlMeans 去噪 + 自动对比度,是无 GPU 的传统 画质提升组合。真正的超分辨率(Real-ESRGAN 等)需 GPU/模型,此处以 ai-image-gen 图生图替代。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.