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An Adaptive Image Quality Assessment Algorithm
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  • An Adaptive Image Quality Assessment Algorithm
  • An Adaptive Image Quality Assessment Algorithm
저자명
Sankar. Ravi,Ivkovic. Goran
간행물명
Journal of Advanced Smart Convergence(JASC)
권/호정보
2012년|1권 1호|pp.6-13 (8 pages)
발행정보
한국인터넷방송통신학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

An improved algorithm for image quality assessment is presented. First a simple model of human visual system, consisting of a nonlinear function and a 2-D filter, processes the input images. This filter has one user-defined parameter, whose value depends on the reference image. This way the algorithm can adapt to different scenarios. In the next step the average value of locally computed correlation coefficients between the two processed images is found. This criterion is closely related to the way in which human observer assesses image quality. Finally, image quality measure is computed as the average value of locally computed correlation coefficients, adjusted by the average correlation coefficient between the reference and error images. By this approach the proposed measure differentiates between the random and signal dependant distortions, which have different effects on human observer. Performance of the proposed quality measure is illustrated by examples involving images with different types of degradation.