An Improved SPECK Algorithm with Bit Plane Lifting and the Optimal Single Value Prediction

SPECK has been found to be competitive in compression of images, 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 when lifting bit planes. In addition, the algorithm reduces redundancy of the LL sub-band with the optimal single-value linear prediction. The experimental results show that LFP-SPECK algorithm is effective.