Removing artifacts using gradient projection from a single image

Bo Song; Shenwen Gong; Chunjian Ren

doi:10.1117/12.902904

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2 December 2011 Removing artifacts using gradient projection from a single image

Bo Song, Shenwen Gong, Chunjian Ren

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Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 80041C (2011) https://doi.org/10.1117/12.902904
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Image artifacts caused by image deconvolution usually make people feel regretful. Especially for image deconvolution algorithm which is used for restoring motion blurred image. The artifacts removing is challenging for conventional image deconvolution approach. In this paper, we propose a novel method that removes artifacts from a deconvolved image which caused by image deconvolution. Firstly, blur method is used to get a blurred version of the original artifacts image. Secondly, gradient projection algorithm is used to adjust the gradient of the original image with the blurred image for reference. Finally, the Poisson solution is adopted to reconstruct the final high quality and artifacts free image. Moreover, the artifacts are also reduced at the Poisson interpolation stage. The experiments demonstrate that our algorithms are efficient.

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Bo Song, Shenwen Gong, and Chunjian Ren "Removing artifacts using gradient projection from a single image", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80041C (2 December 2011); https://doi.org/10.1117/12.902904

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