A Decomposition Framework for Image Denoising Algorithms
|Title||A Decomposition Framework for Image Denoising Algorithms|
|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Ghimpeteanu G, Batard T, Bertalmío M, Levine S|
|Journal||IEEE Transactions on Image Processing|
In this paper 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 denoising the image directly, both in terms of PSNR and SSIM  metrics.