Project: Source Modeling and Coding Control

PEOPLE

Zhihai He, Tian-Hu Yu, S.K.Mitra, 

OBJECTIVE

In practical coding applications, such as in digital camera or scanner, the encoder needs to be controlled to meet the storage or transmission requirements while achieving the target picture quality. To this end, it is necessary to have sufficient knowledge about the coding behavior of the encoder, which is characterized by its R-D functions (curve).

By introducing the concepts of characteristic rate curves and rate curve decomposition, a novel framework for R-D analysis and source modeling has been developed. With this framework, a fast algorithm has been found to accurately estimate the R-D curve before quantization and coding for wavelet-based image coders. The proposed algorithm has applied to the SPIHT and Stack-Run encoders. Our extensive experimental results show that the relative R-D curve estimation error is less than 5%. The results of this investigation have been presented at a conference [1].

PUBLICATIONS

These materials are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

1.  Z. He and T-H Yu, and S.K. Mitra, "Fast and accurate rate prediction and picture quality control for wavelet image coding," Proc. 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October-November 2000 - to be published.