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Artifact Effect Reduction Using Power and Entropy Algorithms.

Authors :
Wu, Ming-Te
Source :
International Journal of Pattern Recognition & Artificial Intelligence; Jul2017, Vol. 31 Issue 7, p-1, 11p
Publication Year :
2017

Abstract

In this paper, a method is proposed to reduce artifact effect for images. The proposed approach first decomposes an original image into four subband images. The powers of the four sub-images are calculated and compared with a power threshold accompanying entropy measure to decide that whether the sub-images are reserved or not. The pixels of the reserved sub-images are then compared with a pixel threshold accompanying different entropy measure in order to determine that the pixel is discarded or not. The experimental results of this approach in comparison with other methods are performed both subjectively and qualitatively and shown that the proposed algorithms could reconstruct the desired recovered performance subjectively and objectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02180014
Volume :
31
Issue :
7
Database :
Complementary Index
Journal :
International Journal of Pattern Recognition & Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
122401339
Full Text :
https://doi.org/10.1142/S021800141754012X