Efficient image compression scheme based on differential coding

Li Zhu; Guoyou Wang; Ying Liu

doi:10.1117/12.774764

14 November 2007 Efficient image compression scheme based on differential coding

Li Zhu, Guoyou Wang, Ying Liu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903R (2007) https://doi.org/10.1117/12.774764
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Embedded zerotree (EZW) and Set Partitioning in Hierarchical Trees (SPIHT) coding, introduced by J.M. Shapiro and Amir Said, are very effective and being used in many fields widely. In this study, brief explanation of the principles of SPIHT was first provided, and then, some improvement of SPIHT algorithm according to experiments was introduced. 1) For redundancy among the coefficients in the wavelet region, we propose differential method to reduce it during coding. 2) Meanwhile, based on characteristic of the coefficients' distribution in subband, we adjust sorting pass and optimize differential coding, in order to reduce the redundancy coding in each subband. 3) The image coding result, calculated by certain threshold, shows that through differential coding, the rate of compression get higher, and the quality of reconstructed image have been get raised greatly, when bpp (bit per pixel)=0.5, PSNR (Peak Signal to Noise Ratio) of reconstructed image exceeds that of standard SPIHT by 0.2~0.4db.

Citation Download Citation

Li Zhu, Guoyou Wang, and Ying Liu "Efficient image compression scheme based on differential coding", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903R (14 November 2007); https://doi.org/10.1117/12.774764

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KEYWORDS

Image compression

Wavelets

Image quality

Reconstruction algorithms

Remote sensing

Data storage

Quantization

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