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An ISP pipeline written in C++ for HDR cameras

• The ISP modules are written in C style
• Without other library dependencies
• Can be deployed various embedded platforms
• Customize your pipeline through json configuration

• Raw Domain
  • MipiUnPack: mipi raw data unpack to raw16
  • DePwl: decode the pwl curve
  • Dpc: dynamic pixel correct
  • Lsc: lens shding correct
  • Blc: black level correct
  • Rns: raw noise filter
  • WbGain: white balance gain
  • Demoasic: change raw to rgb
• RGB Domain
  • Ltm: local tone mapping
  • RgbGamma: rgb gamma curve
  • Ccm: color correct matrix
  • Rgb2Yuv: rgb domain to yuv domain
• YUV Domain
  • YGamma: gray gamma curve
  • Contrast: gray contrast adjust
  • Sharpen: gray usm sharpen
  • Cns: chrome noise filter
  • Saturation: chrome saturation
  • Yuv2Rgb: yuv domain to rgb domain

Develop Env :

#dependencies install(cmake and opencv)
sudo apt update
sudo apt install cmake

Build

git clone https://github.com/JokerEyeAdas/HDR-ISP
cd HDR-ISP/
mkdir build
cmake ..
make -j12

Develop Env (x64):

• vs code
• cmake
• vs2019 c++ gen tool

Build

git clone https://github.com/JokerEyeAdas/HDR-ISP
code HDR-ISP
#cmake choose Debug or Release
#compiler choose xxx-amd64
#build all

cd build
#cp cfgs and data
cp -r ../data/ ./
cp -r ../cfgs/ ./
#run isp
./HDR_ISP ./cfgs/isp_config_cannon.json

By changing Json Config

example1, change sensor params:

    "raw_file": "./data/connan_raw14.raw",
    "out_file_path": "./",
    "info": {
        "sensor_name": "cannon",
        "cfa": "RGGB",
        "data_type": "RAW16",
        "bpp": 16,
        "max_bit": 14,
        "width": 6080,
        "height": 4044,
        "mipi_packed": 0
    },

example2, change rgb gamma params:

"rgbgamma": {
        "enable": true,
        "in_bit": 10,
        "out_bit": 8,
        "gammalut_nums": 11,
        "gammalut": [
            0,
            0.3504950718773984,
            0.48243595264750255,
            0.57750428843709,
            0.6596458942714417,
            0.731034378464739,
            0.7925580792857235,
            0.8509817015104557,
            0.9029435754464383,
            0.9534255851019492,
            1.0
        ]
    }

Notes	Image
Raw
ISP Result(Ours)
FastOpenISP Result

ISP	Image1	Image2	Notes
Ours			Detail and boundaries is clear
Fast Open Isp			Color banding and detail lost

• Support Dpc, Rns, Cns and other ISP modules;
• Write ISP tunning GUI tools.

• Thanks for your support, we hope that my project can help your work

Thanks for the following code repository!

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