Information theoretical assessment of digital imaging systems

Sarah John; Zia-ur Rahman; Friedrich O. Huck; Stephen E. Reichenbach

doi:10.1117/12.21758

1 October 1990 Information theoretical assessment of digital imaging systems

Sarah John, Zia-ur Rahman, Friedrich O. Huck, Stephen E. Reichenbach

Proceedings Volume 1309, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing; (1990) https://doi.org/10.1117/12.21758
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

The end-to-end performance of image gathering, coding, and restoration as a whole is considered. This approach is based on the pivotal relationship that exists between the spectral information density of the transmitted signal and the restorability of images from this signal. The information-theoretical assessment accounts for (1) the information density and efficiency of the acquired signal as a function of the image-gathering system design and the radiance-field statistics, and (2) the improvement in information efficiency and data compression that can be gained by combining image gathering with coding to reduce the signal redundancy and irrelevancy. It is concluded that images can be restored with better quality and from fewer data as the information efficiency of the data is increased. The restoration correctly explains the image gathering and coding processes and effectively suppresses the image-display degradations.

Citation Download Citation

Sarah John, Zia-ur Rahman, Friedrich O. Huck, and Stephen E. Reichenbach "Information theoretical assessment of digital imaging systems", Proc. SPIE 1309, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing, (1 October 1990); https://doi.org/10.1117/12.21758

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