Hybrid technique using spline-wavelet packets and vector quantization for high-rate image compression

Qian L. Fridley; Andrew K. Chan; Charles K. Chui; Elaine J. Pettit; Don S. Rhines

doi:10.1117/12.162064

1 November 1993 Hybrid technique using spline-wavelet packets and vector quantization for high-rate image compression

Qian L. Fridley, Andrew K. Chan, Charles K. Chui, Elaine J. Pettit, Don S. Rhines

Proceedings Volume 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing; (1993) https://doi.org/10.1117/12.162064
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

A hybrid algorithm for high rate image compression based on spline wavelet packets and vector quantization is presented in this paper. The algorithm consists of (1) a fast projection of an image signal onto the spline-wavelet space, (2) an efficient spline-wavelet packet decomposition algorithm, (3) a method to select the optimal number of component subimages, (4) criteria for thresholdings, and (5) vector quantization of subimages. We have compressed a test image to 0.08 bpp from 8 bpp with PSNR of 27 db.

Citation Download Citation

Qian L. Fridley, Andrew K. Chan, Charles K. Chui, Elaine J. Pettit, and Don S. Rhines "Hybrid technique using spline-wavelet packets and vector quantization for high-rate image compression", Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); https://doi.org/10.1117/12.162064

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