This repository is a comprehensive guide to Image Signal Processing (ISP), detailing its applications, tools, libraries, and related development fields. It serves as a learning resource for engineers, researchers, and developers interested in understanding and implementing ISP pipelines, covering everything from sensor technology to advanced machine learning integration.

How It Works

The guide breaks down ISP into its core components, explaining the process of converting raw image data into a usable digital format. It covers essential tasks like noise reduction, auto-exposure, autofocus, HDR correction, and sharpening, often performed by specialized media processors. The repository also explores the underlying hardware (CCD, CMOS sensors) and software frameworks used in ISP.

Quick Start & Requirements

This repository is a curated collection of information and links, not a software package. No installation or specific requirements are needed to access the content.

Highlighted Details

• Extensive coverage of various programming languages and their application in ISP and related fields (Python, C/C++, MATLAB, Java, Scala, R).
• Detailed sections on machine learning, deep learning, computer vision, and reinforcement learning, highlighting relevant tools and frameworks.
• Inclusion of specialized areas like photogrammetry, LiDAR development, AR/VR, game development, and CUDA development, with associated learning resources and tools.
• Information on hardware sensors (CCD, CMOS) and multimedia frameworks (H.264, H.265, FFmpeg, GStreamer).

Maintenance & Community

This is a static guide, and maintenance status is not explicitly mentioned. Community interaction is encouraged via pull requests for contributions.

Licensing & Compatibility

The content is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License, allowing for broad use and adaptation.

Limitations & Caveats

As a guide, it does not provide executable code or direct implementations. Users will need to consult the linked resources for practical application and tool usage.