Bit-rate allocation control and quality improvement for color channels in HMVQ image compression

Jiangling Guo, Prateek Shrivastava, Kayla Kepley, Shuyu Yang, Sunanda Mitra, Brain Nutter

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

Medical images usually require higher fidelity than commonly used natural images, especially with respect to detail preservation. Color medical images also require a higher degree of color preservation. In this paper, we present the extension of the novel gray-scale image compression technique, Hybrid Multi-scale Vector Quantization (HMVQ) to color image compression. Limitations of common color image compression methods in controlling bit-rate allocation for color channels are discussed, and the ability of HMVQ in overcoming such limitations while improving the color quality is demonstrated.

Original languageEnglish
Pages (from-to)110-115
Number of pages6
JournalProceedings of the IEEE Symposium on Computer-Based Medical Systems
Volume17
StatePublished - 2004
EventProceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004 - Bethesda, MD, United States
Duration: Jun 24 2004Jun 25 2004

Fingerprint Dive into the research topics of 'Bit-rate allocation control and quality improvement for color channels in HMVQ image compression'. Together they form a unique fingerprint.

Cite this