Abstract

A radiometric/geometric transform has been developed which generates images with approximately wide-sense stationary first (mean)- and second (autocorrelation)-order statistics [ R. N. Strickland, Appl. Opt. 22, 1462 ( 1983)]. The transform is found to enhance the performance of predictive coding. The radiometric transform reduces radiometric redundancy in the image data and, therefore, aids efficient quantization at low bit rates. A spatial transformation, or warp, is applied to produce nearly uniform autocorrelation length throughout the data. This affords a convenient means of reducing spatial redundancy by varying the spatial resolution in the transformed image. Final bit rates of ~0.6 bits/pixel are realized for high-quality images. We discuss hybrid digital/optical implementation of the stationary transforms for data compression.

© 1983 Optical Society of America

Transforming images into block stationary behavior

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