![]() In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6.Chen, C., Chen, Q., Xu, J., Koltun, V.: Learning to see in the dark.In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. ![]() 5.Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising.Anaya J Barbu A Renoir-a dataset for real low-light image noise reduction J. Aharon M Elad M Bruckstein A K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation IEEE Trans. 2.Abdelhamed, A., Lin, S., Brown, M.S.: A high-quality denoising dataset for smartphone cameras.In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1.A Sharif, S., Naqvi, R.A., Biswas, M.: Beyond joint demosaicking and denoising: an image processing pipeline for a pixel-bin image sensor.Extensive experiments demonstrate the proposed two-stage method has a good effect in quantitative indicators and subjective vision. After that, get a clean QBC and then use the same network structure to remosaic to generate Bayer. To begin with, for the denoise phase, in order to ensure the difference of each color channel recovery, we convert the input to hollow QBC, and then enter our backbone network, including source encoder module, feature refinement module and final prediction module. Considering denoise and remosaic, we propose a general two-stage framework JRD-QBC (Joint Remosaic and Denoise in Quad Bayer CFA), including denoise and remosaic. From low-resolution Bayer to full-resolution Bayer has become a very challenging research, especially in the presence of noise. Quad Bayer color filter array (QBC) is a filter shared by four pixels, which can improve the image quality by averaging four pixels in the 2 × 2 neighborhood under low light conditions. The color filter array widely used in smart phones is mainly Quad Bayer and Bayer.
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