Parallel Filtration Based on Principle Component Analysis and Nonlocal Image Processing.

Autor:	Priorov, Andrey, Volokhov, Vladimir, Sergeev, Evgeny, Mochalov, Ivan, Tumanov, Kirill
Předmět:	MULTIPLE correspondence analysis (Statistics) DIGITAL image processing DIGITAL electronics COMPUTER graphics CONTENT-based image retrieval
Zdroj:	Proceedings of the International MultiConference of Engineers & Computer Scientists 2013; 2013, p1-6, 6p
Abstrakt:	It is common that typical devices that form digital images contain of lenses and semiconducting sensors which capture a projected scene. These components cause distortions such as simple geometrical distortion, degradation and noise. That is why sophisticated denoising, sharpening and colour correction algorithms are crucial to obtain high-quality digital images. In this paper we present a novel parallel scheme of image filtration based on Principal Component Analysis (PCA) and non-local processing. Work fundamentals of its algorithm are discussed in detail along with experimental data showing its features in comparison with existed filtration approaches. [ABSTRACT FROM AUTHOR]
Databáze:	Supplemental Index
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