Low-complexity image compression with scalable quality control

Bruce H. Pillman; Michael E. Napoli

doi:10.1117/12.2050694

3 June 2014 Low-complexity image compression with scalable quality control

Bruce H. Pillman, Michael E. Napoli

Proceedings Volume 9085, Sensors and Systems for Space Applications VII; 908510 (2014) https://doi.org/10.1117/12.2050694
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The Rice algorithm is a standard for numerically lossless image compression, especially for space applications, as described by the Consultative Committee for Space Data Systems. It is remarkably simple and adaptable and delivers effective compression for a wide range of signals. The present work investigates an extension of the standard Rice algorithm to support lossy compression, referred to as Enhanced Rice, or ERICE. The extended system allows compression to scale gracefully from numerically lossless to visually lossy and is only slightly more complex than the numerically lossless system.

Citation Download Citation

Bruce H. Pillman and Michael E. Napoli "Low-complexity image compression with scalable quality control", Proc. SPIE 9085, Sensors and Systems for Space Applications VII, 908510 (3 June 2014); https://doi.org/10.1117/12.2050694

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