Feature-preserving lossy image compression using nonlinear PDEs

Tony F. Chan; Haomin M. Zhou

doi:10.1117/12.325724

2 October 1998 Feature-preserving lossy image compression using nonlinear PDEs

Tony F. Chan, Haomin M. Zhou

Proceedings Volume 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII; (1998) https://doi.org/10.1117/12.325724
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

In this report, we propose combining the total variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV- denoising can bring more wavelet coefficients closer to zero thereby making the compression more efficient while the salient features of the image scan still be retained.

Citation Download Citation

Tony F. Chan and Haomin M. Zhou "Feature-preserving lossy image compression using nonlinear PDEs", Proc. SPIE 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII, (2 October 1998); https://doi.org/10.1117/12.325724

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