Abstract: According to the energy aggregation properties of image wavelet coefficients, a new wavelet image lossless compression algorithm based on rearrangement and truncation is proposed. On the basis of discrete wavelet transform, the algorithm successively classifies and rearranges the low frequency subband coefficients in line with Otsu method and Hilbert curve, while, respectively makes adaptive truncated singular value transform on all the high frequency subbands in light of information entropy cost function, followed by entropy encoding for lossless compression. Experimental results show the proposed algorithm effectively reduces encoding bit rate with simple implementation, improving the compression ratio of image lossless compression.

Key words: ⁺Image lossless compression, Wavelet transform, ⁺Classified rearrangement, ⁺Singular value truncation transform