2dimagefilter
Hawkynt/2dimagefilter
A comprehensive .NET collection of pixel art scaling algorithms, resamplers, and ditherers designed to enlarge low-resolution graphics without blurring. It offers a standalone GUI application, a Paint.NET plugin, and a command-line interface.
55 8LGPL-3.0Updated 2026-06-08
78
GreatOverview
The 2D Image Filter library aggregates classic and modern pixel art scaling filters—such as Eagle, Scale2x, HQ, XBR, and XBRz—alongside various resampling kernels and specialized CRT effects. By utilizing flexible color similarity functions instead of rigid equality checks, it preserves crisp edges in retro gaming assets and digital pixel art. Developers and artists can utilize the library programmatically, via a GUI, or through CLI scripting for automated image processing.
Capabilities
- ▸Pixel art scaling using Eagle, SaI, Scale, HQ, LQ, nQ, XBR, and XBRz filter families
- ▸Mathematical resampling kernels including Bicubic, Lanczos, and custom radius filters
- ▸Specialized effects like CRT scanlines, anti-aliasing reverse AA, and ditherers
- ▸Command-line image processing and resizing with flexible dimension arguments
- ▸Standalone GUI application and Paint.NET plugin integration
Best for
Upscaling classic video game sprites and pixel art without introducing blur, Batch processing and resizing retro graphics via command-line automation, Enhancing textures and graphics within image editors using the Paint.NET plugin, Comparing and researching different mathematical scaling algorithms and resampling kernels
Works with
Claude CodeCodexCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
78Task usefulness20%88 → +17.6
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%85 → +12.8
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%44 → +5.3
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%80 → +12.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%85 → +8.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%46 → +3.7
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total78.3 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The project involves performance-critical code utilizing unsafe C# blocks for pixel manipulation, which requires careful memory management review when modifying kernel implementations.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.