Artifact Effect Reduction Using Power and Entropy Algorithms

Author:

Wu Ming-Te1

Affiliation:

1. Department of Information Technology, Kao Yuan University, No. 1821, Zhongshan Rd., Luzhu Dist., Kaohsiung City 82151, Taiwan

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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