Mixed raster content (MRC) model for compound image compression

Ricardo L. de Queiroz; Robert R. Buckley; Ming Xu

doi:10.1117/12.334618

28 December 1998 Mixed raster content (MRC) model for compound image compression

Ricardo L. de Queiroz, Robert R. Buckley, Ming Xu

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334618
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

This paper will describe the Mixed Raster Content (MRC) method for compressing compound images, containing both binary test and continuous-tone images. A single compression algorithm that simultaneously meets the requirements for both text and image compression has been elusive. MRC takes a different approach. Rather than using a single algorithm, MRC uses a multi-layered imaging model for representing the results of multiple compression algorithms, including ones developed specifically for text and for images. As a result, MRC can combine the best of existing or new compression algorithms and offer different quality-compression ratio tradeoffs. The algorithms used by MRC set the lower bound on its compression performance. Compared to existing algorithms, MRC has some image-processing overhead to manage multiple algorithms and the imaging model. This paper will develop the rationale for the MRC approach by describing the multi-layered imaging model in light of a rate-distortion trade-off. Results will be presented comparing images compressed using MRC, JPEG and state-of-the-art wavelet algorithms such as SPIHT. MRC has been approved or proposed as an architectural model for several standards, including ITU Color Fax, IETF Internet Fax, and JPEG 2000.

Citation Download Citation

Ricardo L. de Queiroz, Robert R. Buckley, and Ming Xu "Mixed raster content (MRC) model for compound image compression", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334618

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