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An open-source image signal processing (ISP) pipeline implemented by C++

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ISPLab

An open-source image signal processing (ISP) pipeline implemented by C++

Introduction

ISPLab is an open-source and platform-free ISP pipeline converting 10-bit RAW data to 8-bit RGB/YUV image without any 3rdparty libs (If you want to show the result and use deep learning, then OpenCV is required).

Result

Raw input RGB output

Methods

The pipeline of ISPLab includes following methods:

  • RAW data processing
    • Dead pixel correction (DPC)
    • Black level correction (BLC)
    • Lens shading correction (LSC)
    • Anti-aliasing filtering (AAF)
    • Auto white balance (AWB)
    • Chroma noise filtering (CNF)
  • Demosaicing
  • RGB image processing
    • Color correction (CCM)
    • Gamma correction (GC)
  • Color space convertion
  • YUV image processing
    • Noise reduction (NR)
    • Edge enhancement (EE)
    • Hue & saturatiton control (HSC)
    • Brightness & contrast control (BCC)

You can easily change the parameters of different methods in the config.csv, or change the Config.cpp file.

Contact me: liuyuqing@mail.dlut.edu.cn

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An open-source image signal processing (ISP) pipeline implemented by C++

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