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Image compression and restoration incorporating prior knowledge

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Abstract

It is shown how to incorporate prior knowledge into the restoration of an image from a finite number of its expansion coefficients in some basis. The significant image enhancement obtained for simple prior knowledge suggests an application to image-transform coding. A computer simulation is presented that demonstrates that compression ratios greater than 13:1 are possible.

© 1982 Optical Society of America

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