A Rate-Distortion Approach to Wavelet-Based Encoding of Predictive Error Frames

In this paper, we develop a framework for efficiently encoding predictive error frames (PEF) as part of a rate scalable, wavelet-based video compression algorithm. We investigate the use of rate-distortion analysis to determine the significance of coefficients in the wavelet decomposition. Based on this analysis, we allocate the bit budget assigned to a PEF to the coefficients that yield the largest reduction in distortion, while maintaining the embedded and rate scalable properties of our video compression algorithm.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Eduardo Asbun, Paul Salama, Edward J. Delp
• Keywords: ICIP 2000, Image Processing, Rate Scalable Properties, Video Compression Algorithm, Wavelet-based Video Compression