Image compression using quad-tree coding with morphological dilation

Weiwei Jiang; Licheng Jiao; Lei Wang

doi:10.1117/12.750012

14 November 2007 Image compression using quad-tree coding with morphological dilation

Weiwei Jiang, Licheng Jiao, Lei Wang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904U (2007) https://doi.org/10.1117/12.750012
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, we propose a new algorithm which integrates morphological dilation operation to quad-tree coding, the purpose of doing this is to compensate each other's drawback by using quad-tree coding and morphological dilation operation respectively. New algorithm can not only quickly find the seed significant coefficient of dilation but also break the limit of block boundary of quad-tree coding. We also make a full use of both within-subband and cross-subband correlation to avoid the expensive cost of representing insignificant coefficients. Experimental results show that our algorithm outperforms SPECK and SPIHT. Without using any arithmetic coding, our algorithm can achieve good performance with low computational cost and it's more suitable to mobile devices or scenarios with a strict real-time requirement.

Citation Download Citation

Weiwei Jiang, Licheng Jiao, and Lei Wang "Image compression using quad-tree coding with morphological dilation", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904U (14 November 2007); https://doi.org/10.1117/12.750012

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