Combinedwavelet Domain and Motion Compensated Filtering Compliant with Video Codecs

Abstract

In this paper, we introduce the idea of using motion estimation resources from a video codec for video denoising. This is not straightforward because the motion estimators aimed for video compression and coding, tolerate errors in the estimated motion field and hence are not directly applicable to video denoising. To solve this problem, we propose a novel motion field filtering step that refines the accuracy of the motion estimates to a degree that is required for denoising.We illustrate the use of the proposed motion estimation method within a wavelet-based video denoising scheme. The resulting video denoising method, is of low-complexity and compares favorably to the latest video denoising methods.

Robust video denoising for better subjective evaluation

“…Many video denoising algorithms have been proposed in literature and they may be classified as spatial domain methods [3][4][5][6] and transform domain methods [7][8][9][10][11][12][13]. In realtime video encoding system, the computational complexity of the wavelet domain method is too high.…”

A fuzzy filter for the removal of random impulse noise in image sequences

“…Most video filters found in literature deal with the Gaussian noise model (e.g. [1][2][3][4][5][6][7][8]). In this paper we will concentrate on image sequences corrupted with random valued impulse noise:…”