Enhancing image denoising by controlling noise incursion in learned dictionaries

Enhancing image denoising by controlling noise incursion in learned dictionaries

Existing image denoising frameworks via sparse representation using learned dictionaries have an weakness that the dictionary, trained from noisy image, suffers from noise incursion. This paper analyzes this noise incursion, explicitly derives the noise component in the dictionary update step, and p...

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Bibliographic Details
Main Authors: Anamitra Makur (EEE), Sahoo, Sujit Kumar
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2015
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/107084
http://hdl.handle.net/10220/25303
http://dx.doi.org/10.1109/LSP.2015.2388712

Internet

https://hdl.handle.net/10356/107084
http://hdl.handle.net/10220/25303
http://dx.doi.org/10.1109/LSP.2015.2388712

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