Computer Science – Information Theory
Scientific paper
Oct 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990spie.1309...53j&link_type=abstract
IN: Infrared imaging systems: Design, analysis, modeling, and testing; Proceedings of the Meeting, Orlando, FL, Apr. 16-18, 1990
Computer Science
Information Theory
Image Processing, Infrared Imagery, Scene Analysis, Data Compression, Image Reconstruction, Information Theory, Signal Processing, Spectral Methods
Scientific paper
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.
Huck Friedrich O.
John Sarah
Rahman Zia-Ur
Reichenbach Stephen E.
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