IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
Random-Valued Impulse Noise Removal Using Non-Local Search for Similar Structures and Sparse Representation
Kengo TSUDATakanori FUJISAWAMasaaki IKEHARA
Author information
JOURNAL RESTRICTED ACCESS

2017 Volume E100.A Issue 10 Pages 2146-2153

Details
Abstract

In this paper, we introduce a new method to remove random-valued impulse noise in an image. Random-valued impulse noise replaces the pixel value at a random position by a random value. Due to the randomness of the noisy pixel values, it is difficult to detect them by comparison with neighboring pixels, which is used in many conventional methods. Then we improve the recent noise detector which uses a non-local search of similar structure. Next we propose a new noise removal algorithm by sparse representation using DCT basis. Furthermore, the sparse representation can remove impulse noise by using the neighboring similar image patch. This method has much more superior noise removal performance than conventional methods at images. We confirm the effectiveness of the proposed method quantitatively and qualitatively.

Related papers from these authors
© 2017 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top