We employ advanced pixel shift technology to perform a full color sampling of the image. Pixel shift technology takes four samples of the same image at nearly the same time, and physically controls the camera sensor to move one pixel horizontally or vertically at each sampling to capture all color information at each pixel. The pixel shift technology ensures that the sampled images follow the distribution of natural images sampled by the camera, and the full information of the color (R, Gr, Gb, B channel) is completely obtained without any need of interpolation. In this way, the collected RGB images are artifacts-free, which leads to better training results for demosaicing related tasks.

PixelShift200 Dataset contains 210 high quality 4K images.

  • Training: 200 images
  • Testing: 10 images
  • Key Features: fully colored, demosiacing artifacts free
  • Camera: SONY α7R III

Recent News

  • 2023-01-01 : PixelShift200 Dataset raw data release
  • 2019-05-25 : PixelShift200 Dataset initial release


Trainning Dataset
PixelShift200 Training Dataset/
Validation Dataset
PixelShift200 Validation Dataset/



Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
  • Guocheng Qian*
  • Yuanhao Wang*
  • Jinjin Gu*
  • Chao Dong
  • Wolfgang Heidrich
  • Bernard Ghanem
  • Jimmy S. Ren