A naturalness-preserving transform for image coding and reconstruction

We have developed a new image transform that possesses some unusual properties that may be useful for some special applications; especially for those instances in which the communications must pass through channels whose quality and characteristics are unpredictable due to nonstationary noise processes or jamming. We present an example of a use for the new transform that can be characterized as a man-in-the-loop error correction procedure. A stable and an efficient algorithm has been developed for the proposed correction scheme and the algorithm is amenable for an array processor. The algorithm is shown to be superior to the conventional least squares type algorithms and can operate in near real time.