Optimal thresholding in wavelet image compression

F. O. Zeppenfeldt; J. B. Boerger; A. Koppes

doi:10.1117/12.162067

1 November 1993 Optimal thresholding in wavelet image compression

F. O. Zeppenfeldt, J. B. Boerger, A. Koppes

Proceedings Volume 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing; (1993) https://doi.org/10.1117/12.162067
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Wavelet transform coding has the potential to offer a lot of benefits with respect to image compression and image filtering as well. The later aspect is of importance in machine processing of high entropy images such as Synthetic Aperture Radar images obtained by the European Remote sensing Satellite (ERS-1). A mathematical model is developed to study the relation between a specified Mean Square Error, the value of the wavelet coefficient threshold and the maximum number of resolutions used. The wavelet compression method is compared with other compression methods like JPEG standard and Vector Quantization for a number of different (in a statistical sense) images amongst others LENA.

Citation Download Citation

F. O. Zeppenfeldt, J. B. Boerger, and A. Koppes "Optimal thresholding in wavelet image compression", Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); https://doi.org/10.1117/12.162067

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