Non-local means

Algorithm

Image (mathematics)

Machine learning

Physics

Pattern recognition (psychology)

Artificial intelligence

Pixel

Noise reduction

Gaussian

Video tracking

Pure mathematics

Multiview Video Coding

Image denoising

Video denoising

Computer vision

Mathematics

Computer science

Gaussian noise

Quantum mechanics

Video processing

Margin (machine learning)

Grayscale

Field (mathematics)

Noise (video)

Information Fusion

• Exhaustive survey of methods for removal of Gaussian noise. • Categorisation of denoising methods into various domains. • Extensive experimental analysis of state-of-the-art techniques. At the crossing of the statistical and functional analysis, there exists a relentless quest for an efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising algorithms have been documented in the literature, in spite of which the level of functionality of these algorithms still holds margin to acquire desired level of applicability. Quite often noise affecting the pixels in image is Gaussian in nature and uniformly deters information pixels in image. Based on some specific set of assumptions all methods work optimally, however they tend to create artefacts and remove fine structural details under general conditions. This article focuses on classifying and comparing some of the significant works in the field of denoising.

Image denoising review: From classical to state-of-the-art approaches