Image compression using constrained relaxation

Zhihai He

doi:10.1117/12.705098

29 January 2007 Image compression using constrained relaxation

Zhihai He

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65082P (2007) https://doi.org/10.1117/12.705098
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

In this work, we develop a new data representation framework, called constrained relaxation for image compression. Our basic observation is that an image is not a random 2-D array of pixels. They have to satisfy a set of imaging constraints so as to form a natural image. Therefore, one of the major tasks in image representation and coding is to efficiently encode these imaging constraints. The proposed data representation and image compression method not only achieves more efficient data compression than the state-of-the-art H.264 Intra frame coding, but also provides much more resilience to wireless transmission errors with an internal error-correction capability.

Citation Download Citation

Zhihai He "Image compression using constrained relaxation", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65082P (29 January 2007); https://doi.org/10.1117/12.705098

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