DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-12 ( Dec, 2017 ) | |||||||||
Paper Title |
No-reference Image Quality Assessment for images degraded by Quantization Defects | |||||||||
Author Name |
Kanjar De, V. Masilamani | |||||||||
Affilition |
Computer Science & Engineering Department, IIITD&M Kancheepuram India | |||||||||
Pages |
88-93 | |||||||||
Abstract |
No-reference image quality assessment is a category of image quality assessment algorithms which gives the estimate of the quality of an image without the requirement of a reference image. Storage of high definition images in low end storage systems needs quantization. Excessive quantization of gray levels or color results in degradation of quality of images. In this paper, we propose a no-reference image quality assessment algorithm based on image histogram which gives an estimate of quality of images which are degraded by excessive quantization of gray levels or colors. The proposed Image Quality Assessment measure performs better than the best known Image Quality Assessment measures for images with quantization noise on standard datasets. Keywords - Image quality assessment, color quantization, dither | |||||||||
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