A Novel Decomposition Framework For Gray Scale Image Denoising Algorithms
Arangi Pavan Kumar, Raavi Satish · 2017
Image processing applications like Image De-noising , Enhancement and Interpolation, Decomposition of the image into its components is a very effective technique., In this project, we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry (directions of gradients and level lines). Then, the strategy we develop is to denoise the components of the image in the moving frame in order to preserve its local geometry, which would have been more affected if processing the image directly. Experiments on a whole image database tested with several denoising methods show that this framework can provide better results than de-noising the image directly, both in terms of Peak signal-to-noise ratio and Structural similarity index metrics.