LFP-SPECK: an improved SPECK compression algorithm of remote sensing image

摘要

SPECK has been found to be competitive in compression of the remote sensing images with abundant texture, while the visual importance of DWT LL sub-band has not been utilized in the SPECK. To improve the compression capability of the SPECK further, this paper presents the LFP-SPECK (Low Frequency Prior SPECK) algorithm. By lifting the bit planes of low frequency sub-band coefficients LFP-SPECK algorithm encodes low frequency sub-band firstly. The double LSP (List of Significant Pixels) lists are adopted here to avoid increasing bits by lifting bit planes. In addition, the optimal single-value linear prediction method is used to decrease the redundancy of the LL sub band. The experimental results with remote sensing and aerial images show that LFP-SPECK algorithm is better than SPECK and the LSPECK (Lifting SEPCK) algorithms.