Application of two-dimensional truncated singular value decomposition in image restoration
Hong-Yu Zhou, Kou Ting, Song Xu · Journal of Physics Conference Series · 2021
Abstract Large solution size and ill-posed problem often exists in image restoration. In order to overcome these problems, the application of two-dimensional truncated singular value decomposition(2-D TSVD) in large-scale image restoration is studied in this paper. The 2-D TSVD overcomes the inherent ill-posed problem and also solves the problem caused by limited storage in image restoration, which plays a regularization role. Experimental results show that this method is very effective in image restoration.