An adaptive parameterized block-based singular value decomposition for image de-noising and compression

作者：Shih Y T^*; Chien C S; Chuang C Y

来源：Applied Mathematics and Computation, 2012, 218(21): 10370-10385.

DOI：10.1016/j.amc.2012.03.070

• Singular value decomposition
• Image compression
• Image filtering
• Image denoising

We propose an adaptive parametrized block-based singular value decomposition (APBSVD) for preserving the edge structure and avoiding blurred image after the compressing process. We also exploit a proper selection of the Peak Signal to Noise Ratio (PSNR) parameter at each block to appropriately eliminate high-frequency noise. Our numerical results show that the proposed methods are promising which effectively remove the noise, and preserves the edge information well during the block-based SVD image compression.

• 出版日期2012-7-1