Image compression with the wavelet transform
Jeffrey D. Argast, Malan D. Rampton, Xin Ying Qiu, Todd K. Moon · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
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.