A Fuzzy & K-L Based Reduced Reference ImageQuality
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: Reduced-reference (RR) image quality measures aim to predict the visual quality of distorted images with only partial information about the reference images. In this paper, in first stage uses present thresholding technique between probability distribution of local entropy of reference and their corresponding images usingrelative entropy (also known as the Kullback-Leiber discrimination distance function) as a criterion of thresholding of probability distribution of local entropy between references and distorted of their reference image. After then we create a model FIS (Fuzzy Inference System) and then use as input KLD and get qualityscore of distortedimage.
Authors and Affiliations
BivayKumar , PankajRai
Keywords
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