A NOVEL TECHNIQUE TO REDUCE THE IMAGE NOISE USING IMAGE FUSION
A. Aushik, S. Sridevi · 2014
of different image fusion algorithms. Experimental results clearly indicate that this metric is perceptually meaningful D. LETEXIER AND S. BOURENNANE., This paper presents a new multi-way filtering method for multidimensional images corrupted by white Gaussian noise. Images are considered as multi-way arrays instead of matrices or vectors, which enables to keep relations between each index. The presented filtering method is based on multi linear algebra principles and it improves the multi-way Wiener filtering (MWF). The originality of the method relies on the flattening directions of multi-way arrays and on a block approach to keep local characteristics of images. Experiments on color images and hyper spectral images have been computed to illustrate the improvement of MWF by the analysis of image characteristics. A. RAJWADE, A. BANERIEE, AND A. RANGARAIAN., We present a new method for compact representation of large image datasets. Our method is based on treating small patches from a