Multi-Frame Image Denoising Based on Minimum Noise Variance Convex Combination with Difference-Based Noise Variance Estimation

Akira TANAKA  Katsuya KOHNO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E96-A   No.10   pp.2066-2070
Publication Date: 2013/10/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E96.A.2066
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Image
Keyword: 
image denoising,  multi-frame,  convex combination,  minimum variance,  variance estimation,  

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Summary: 
In this paper, we propose a novel multi-frame image denoising technique, which achieves the minimum variance of noise. Zero-mean and unknown variance white noise with an arbitrary distribution is considered in this paper. The proposed method consists of two parts. The first one is the estimation of the variance of noise for each image by considering the differences of all pairs of images. The second one is an actual denoising process in which the convex combination of all images with weight coefficients determined by the estimated variances is constructed. We also give an efficient algorithm by which we can obtain the same result by successive convex combinations. The efficacy of the proposed method is confirmed by computer simulations.