Mutual Information Of Images: A New Approach To Pyramidal Image Analysis

B. Hason; Y. Y. Zeevi

doi:10.1117/12.968998

25 October 1988 Mutual Information Of Images: A New Approach To Pyramidal Image Analysis

B. Hason, Y. Y. Zeevi

Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968998
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

Abstract

The similarity measure is defined as the amount of information necessary to transform one image into another. Application of this measure between pyramid elements reveals that significant data-compression, subject to controllable error, can be achieved by saving only the necessary information to pass from the lower-resolution image to its higher-resolution version. Further, this data can be estimated without any side information to obtain a super-resolution effect in images.

Citation Download Citation

B. Hason and Y. Y. Zeevi "Mutual Information Of Images: A New Approach To Pyramidal Image Analysis", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.968998

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