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Artifact Effect Reduction Using Power and Entropy Algorithms.
- 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]
- Subjects :
- IMAGE analysis
COMPUTER algorithms
PIXELS
ENTROPY
COMPUTER performance
Subjects
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