Datasets › PixelShift200

PixelShift200

Introduced by Guocheng Qian et al. in Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline7 May 2019 archive 2025-07-28

Advanced pixel shift technology is employed 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

Source: PixelShift200

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • PixelShift200

1 variant name, as the archive lists them.

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