image-preprocessing-pipeline

image preprocessing pipeline

7,385 stars

Best use case

image-preprocessing-pipeline is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

image preprocessing pipeline

Teams using image-preprocessing-pipeline should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/image-preprocessing-pipeline/SKILL.md --create-dirs "https://raw.githubusercontent.com/kreuzberg-dev/kreuzberg/main/.ai-rulez/domains/ocr-integration/skills/image-preprocessing-pipeline/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/image-preprocessing-pipeline/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How image-preprocessing-pipeline Compares

Feature / Agentimage-preprocessing-pipelineStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

image preprocessing pipeline

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

Prepare images for optimal OCR accuracy

1. Analyze image characteristics (resolution, color, noise)
2. Apply format normalization
3. Adjust resolution if needed:
   - Upscale if < 150 DPI
   - Downsample if > 600 DPI
4. Apply noise reduction:
   - Gaussian blur for high noise
   - Morphological operations
5. Enhance contrast:
   - Histogram equalization
   - CLAHE for local contrast
6. Correct skew/rotation
7. Apply binarization if needed
8. Validate preprocessing result