Image compression with the wavelet transform

Jeffrey D. Argast; Malan D. Rampton; Xin Qiu; Todd K. Moon

doi:10.1117/12.157892

22 October 1993 Image compression with the wavelet transform

Jeffrey D. Argast; Malan D. Rampton; Xin Qiu; Todd K. Moon

Author Affiliations +

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157892
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

We present a new algorithm for coefficient selection during image compression using the wavelet transform for decomposition and reconstruction. This new algorithm assigns a weight to each scale so that coefficients from a high resolution scale are more likely to be discarded before coefficients from a low resolution scale. Results show our algorithm introduces less error into the reconstructed image than the sort method developed by DeVore/em et al.

Citation Download Citation

Jeffrey D. Argast, Jeffrey D. Argast, Malan D. Rampton, Malan D. Rampton, Xin Qiu, Xin Qiu, Todd K. Moon, Todd K. Moon, } "Image compression with the wavelet transform", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157892; https://doi.org/10.1117/12.157892

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