python-image-downsampling-with-color-voting

Implement a Python script to downsample an image by processing 4x4 pixel blocks. Each pixel in a block votes for the closest color in a colormap, and the block is filled with the most voted color.

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Repository: ECNU-ICALK/AutoSkill
Last source activity: March 13, 2026 at 06:15
Detected SKILL.md language: English
Stars: 553
Forks: 51

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autoskill

Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.

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Operational Rules & Constraints

Input: Accept an image file and a colormap (NumPy array of RGB values).

Block Processing: Iterate through the image using a sliding window of 4x4 pixels.

Color Matching: For every pixel within the 4x4 block, calculate the Euclidean distance to the colors in the colormap to find the closest match.

Voting System: Each pixel casts a vote for its closest color.

Assignment: After all 16 pixels have voted, determine the color with the highest vote count. Assign this color to all 16 pixels in the block.

Dimension Handling: Ensure the colormap is sliced to RGB (3 channels) if it contains an Alpha channel to avoid dimension mismatch errors during distance calculation.

Output: Save the modified image to a specified file path.