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png-interlace-proofs

Verify Adam7 interlacing properties in PNG images for correct decoding and re-encoding.

1|Updated Apr 14, 2026
Search Tags:#Adam7 interlacing#PNG image processing#Image verification#Interlace properties#Proof verification
One-click install
npx skills add https://github.com/fmhall/lean-png --skill png-interlace-proofs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: png-interlace-proofs
Source: https://github.com/fmhall/lean-png/tree/main/.claude/skills/png-interlace-proofs
Command: npx skills add https://github.com/fmhall/lean-png --skill png-interlace-proofs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users implement and prove properties about Adam7 interlacing, sub-image extraction, pixel scatter/gather, and interlace index bijectivity in PNG images.

Core Features & Use Cases

  • Interlacing Verification: Ensure that interlaced PNG images are correctly decoded and re-encoded without loss.
  • Sub-Image Extraction: Extract specific regions from interlaced images for detailed analysis.
  • Pixel Scatter/Gather: Validate the correct placement of pixels after scatter and gather operations.
  • Interlace Index Bijectivity: Prove that each pixel in the image is covered exactly once by the interlacing process.
  • Use Case: Ideal for developers and researchers working on image processing libraries, where verifying the correctness of interlacing algorithms is crucial.

Quick Start

Run the png-interlace-proofs skill to verify the roundtrip property of Adam7 interlacing on an image.

Frequently Asked Questions about png-interlace-proofs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify Adam7 interlacing properties in PNG images?▼

You can verify Adam7 interlacing in PNG images by running checks that ensure correct decoding and re-encoding without loss, validating pixel placement after scatter and gather operations, and proving interlace index bijectivity.

What is Adam7 interlace index bijectivity in PNG image processing?▼

Adam7 interlace index bijectivity is the mathematical property proving that each pixel in a PNG image is covered exactly once by the interlacing process, ensuring no data duplication or loss during sub-image extraction.

How do I extract sub-images from an Adam7 interlaced PNG?▼

You extract sub-images from an Adam7 interlaced PNG by applying pixel scatter and gather operations to isolate specific regions, allowing detailed analysis of individual interlace passes and verifying correct pixel placement.

Can I prove roundtrip correctness for Adam7 interlaced PNG decoding and re-encoding?▼

Yes, you can prove roundtrip correctness for Adam7 interlaced PNG decoding and re-encoding by verifying that pixel scatter and gather operations preserve exact pixel placement, ensuring interlaced images decode and re-encode without loss.

Do I need this interlace verification tool for image processing library development?▼

Yes, this is ideal for image processing library development where verifying the correctness of Adam7 interlacing algorithms is crucial, providing tools to extract sub-images and validate pixel placement during research and implementation.

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