Maximum Entropy Image Restoration: Formulated As A Correction Term To The Inverse Filter Solution

Robert A. Gonsalves; Huei-Mei Kao

doi:10.1117/12.976239

10 December 1986 Maximum Entropy Image Restoration: Formulated As A Correction Term To The Inverse Filter Solution

Robert A. Gonsalves, Huei-Mei Kao

Proceedings Volume 0697, Applications of Digital Image Processing IX; (1986) https://doi.org/10.1117/12.976239
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

Abstract

We introduce a simplified technique for calculating the maximum entropy solution for restoration of degraded images. We show that the maximum entropy solution can be formulated as an inverse filter estimate plus a correction term. The estimate starts with the inverse filter solution and an iterative algorithm produces the correction term. At each iteration we use an entropy gradient and an analytically calculated step size. The algorithm uses two Fourier transforms per iteration. Examples show that, after only a few iterations, the technique reduces the artifacts often found in the inverse filter estimate.

Citation Download Citation

Robert A. Gonsalves and Huei-Mei Kao "Maximum Entropy Image Restoration: Formulated As A Correction Term To The Inverse Filter Solution", Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); https://doi.org/10.1117/12.976239

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