A Modified Adaptive PCA Learning based Method for Image Denoising
نویسندگان
چکیده
منابع مشابه
A Modified Adaptive PCA Learning based Method for Image Denoising
The paper deals with image denoising with a new approach towards obtaining high quality denoised image patches using only a single image. A learning technique is proposed to obtain highly correlated image patches through sparse representation, which are then subjected to matrix completion to obtain high quality image patches. this paper show a framework for denoising by learning an appropriate ...
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Principal component analysis (PCA) is an orthogonal transformation that seeks the directions of maximum variance in the data and is commonly used to reduce the dimensionality of the data. In image denoising, a compromise has to be found between noise reduction and preserving significant image details. PCA is a statistical technique for simplifying a dataset by reducing datasets to lower dimensi...
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Article history: Received on Feb 27th 2015 Accepted on March 20th 2015 Available online 15th June 2015
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/13025-0103