Predictive Compression and Denoising with Overcomplete Decompositions: A Simple Way to Reject Structured Interference

Oztan Harmanci; Gang Hua; Onur G. Guleryuz

doi:10.1117/12.735220

27 September 2007 Predictive compression and denoising with overcomplete decompositions: a simple way to reject structured interference

Oztan Harmanci, Gang Hua, Onur G. Guleryuz

Author Affiliations +

Proceedings Volume 6701, Wavelets XII; 67011E (2007) https://doi.org/10.1117/12.735220
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

In this paper we propose a prediction method that is geared toward forming successful estimates of a signal based on a correlated anchor signal contaminated with complex interference. The interference model is based on real-life, and it involves intensity modulations, linear distortions, structured clutter, and white noise just to name a few. The proposed method first transforms signals to an over-complete domain where we assume sparse decompositions. In this sparse domain, we show that very simple predictors can be designed to perform efficient prediction. The parameters of these predictors are derived from causal information, enabling completely automated and blind operation. The utilized over-complete representation allows multiple predictions for each sample in signal domain, which are averaged and combined into a single prediction. Experimental results on images and video frames show that the proposed method can provide successful predictions under a variety of complex transitions, such as cross-fades, brightness changes, focus variations, and other complex distortions. The proposed prediction method is also implemented to operate inside a state-of-the-art video compression codec and results show significant improvements on scenes that are hard to encode using traditional prediction techniques.

Citation Download Citation

Oztan Harmanci, Gang Hua, and Onur G. Guleryuz "Predictive compression and denoising with overcomplete decompositions: a simple way to reject structured interference", Proc. SPIE 6701, Wavelets XII, 67011E (27 September 2007); https://doi.org/10.1117/12.735220

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