A Layer Segmentation Based Compression Algorithm
Tao Li, Xin Shou Tian, Jin Tian · Applied Mechanics and Materials · 2014
In this paper, we proposed a layer segmentation based compression algorithm for gray images. Image textures and some high frequency noise are described in a high frequency layer while the coarse part of the image is included in the low frequency layer. A mixed dictionary and sparse coding is applied for high frequency layer coding and the low frequency layer is coded using the traditional wavelets based coding system. The results show that the proposed scheme achieves better rate-distortion performance compared with several competing compression system. Furthermore, in the sparse coding part, some edge-related atoms are added in the dictionary and a high sparseness factor is set for the edge blocks, making more accurate approximations for edges. We avoid further degradation of edges caused by compression.