Smoothing vs. sharpening of color images - Together or separated

Cristina Pérez-Benito ^[1] ; Samuel Morillas ^[1] ; Cristina Jordán ^[1] ; J. Alberto Conejero ^[1]
1. [1] Universidad Politécnica de Valencia
  
  Universidad Politécnica de Valencia
  
  Valencia, España
Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 2, Nº. 1, 2017, págs. 299-316
Idioma: inglés
DOI: 10.21042/amns.2017.1.00025
Enlaces
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Resumen
- It is still a challenge to improve the efficiency and effectiveness of image denoising and enhancement methods. There exists denoising and enhancement methods that are able to improve visual quality of images. This is usually obtained by removing noise while sharpening details and improving edges contrast. Smoothing refers to the case of denoising when noise follows a Gaussian distribution.
  
  Both operations, smoothing noise and sharpening, have an opposite nature. There- fore, there are few approaches that simultaneously respond to both goals. We will review these methods and we also provide a detailed study of the state-of-the-art methods that attack both problems in color images, separately.