出版社:Academy & Industry Research Collaboration Center (AIRCC)
摘要:This paper proposes a neural network based region classification technique that classifiesregions in an image into two classes: textures and homogenous regions. The classification isbased on training a neural network with statistical parameters belonging to the regions ofinterest. An application of this classification method is applied in image denoising by applyingdifferent transforms to the two different classes. Texture is denoised by shearlets whilehomogenous regions are denoised by wavelets. The denoised results show better performancethan either of the transforms applied independently. The proposed algorithm successfullyreduces the mean square error of the denoised result and provides perceptually good results.