Feature-coding-based algorithm for high-fidelity image compression

Tianxu Zhang; Kai Lin; Zhen C. Zuo; Yiu Sang Moon

doi:10.1117/12.365889

18 October 1999 Feature-coding-based algorithm for high-fidelity image compression

Tianxu Zhang, Kai Lin, Zhen C. Zuo, Yiu Sang Moon

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365889
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Lossless or high fidelity compression of images is a critical problem yet to be solved in a number of areas such as satellite remote sensing, medical imaging and color image printing. Now the requirement for preservation of image details has rendered the compression method that preserves important information inapplicable. Limited by the storage capacity and transmitting capability, it is very important to enhance the compression ratio of satellite remotely sensed images at high fidelity. Based on wavelet transform and image reconstruction, a feature coding based image compressing algorithm is studied and proposed. This algorithm makes use of the correlativity between the positions of extrema of wavelet transform coefficients as well as the higher-order correlativity between amplitudes of the extrema to perform compression coding, decoding and reconstruction, achieving the result of a compression ratio greater than or equal to 4 at PSNR greater than or equal to 40 db.

Citation Download Citation

Tianxu Zhang, Kai Lin, Zhen C. Zuo, and Yiu Sang Moon "Feature-coding-based algorithm for high-fidelity image compression", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365889

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