Graph-Based-Blind-Image-Deblurring-master.rar_ImageProcessing_bl

# Graph-Based-Blind-Image-Deblurring This code is the upgraded implementation of our TIP paper "Graph-based Blind Image Deblurring from a Single Photograph". ## Prerequisite Matlab(>=R2015a) ## Running the tests ``` Step 1. run graph_blind_main.m Step 2. select a blurred image ``` ## Parameters Users only need to tune *ONE* parameter. On line 21, the estimated kernel size ***k_estimate_size***. * The ***k_estimate_size*** must be *LARGER* than the real kernel size (The default value is 69). * In order to have the best performance, please set the value close to real kernel size and slightly larger. If you want to turn off the intermediate output, you can set *show_intermediate=false* on line 22. ## About noise In order to be more robust with noise, we add several denoising modules beyond the paper. * We embed a TV denoising to pre-process the input image. * We add a wavelet domain filtering for intermediate output kernels. * We add a mask to filter small/noisy gradient in the gradient domain. More sophisticated denoising, such as BM3D, can be done by users in advance. ## About Non-blind image deblurring After kernel estimation with the proposed algorithm, we use the state-of-the-art methods to do non-blind image deblurring. Here, we provide users with [1] to do the following non-blind image deblurring process. Users can also employ [2] or the non-blind deblurring method in [3], by themselves. [1] D. Krishnan and R. Fergus, “Fast image deconvolution using hyperlaplacian priors,” in Proceedings of Neural Information Processing Systems, 2009, Conference Proceedings, pp. 1033–1041. [2] D. Zoran and Y. Weiss, “From learning models of natural image patches to whole image restoration,” in Proceedings of IEEE International Conference on Computer Vision, 2011, Conference Proceedings, pp. 479–486. [3] J. Pan, D. Sun, H. Pfister, and M.-H. Yang, “Blind image deblurring using dark channel prior,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 2016. ## Citation ``` @ARTICLE{GraphBID, author={Y. Bai and G. Cheung and X. Liu and W. Gao}, journal={IEEE Transactions on Image Processing}, title={Graph-Based Blind Image Deblurring From a Single Photograph}, year={2019}, volume={28}, number={3}, pages={1404-1418}, doi={10.1109/TIP.2018.2874290}, ISSN={1057-7149}, month={March},} ```