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Perceptual Weights Based On Local Energy For Image Quality Assessment
Sudhakar Nagalla, Ramesh Babu Inampudi
Pages - 468 - 478     |    Revised - 01-12-2014     |    Published - 31-12-2014
Volume - 8   Issue - 6    |    Publication Date - November / December 2014  Table of Contents
Image Quality, HVS, Full-reference Quality Assessment, Perceptual Weights.
This paper proposes an image quality metric that can effectively measure the quality of an image that correlates well with human judgment on the appearance of the image. The present work adds a new dimension to the structural approach based full-reference image quality assessment for gray scale images. The proposed method assigns more weight to the distortions present in the visual regions of interest of the reference (original) image than to the distortions present in the other regions of the image, referred to as perceptual weights. The perceptual features and their weights are computed based on the local energy modeling of the original image. The proposed model is validated using the image database provided by LIVE (Laboratory for Image & Video Engineering, The University of Texas at Austin) based on the evaluation metrics as suggested in the video quality experts group (VQEG) Phase I FR-TV test.
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Dr. Sudhakar Nagalla
Department of Computer Science and Engineering Bapatla Engineering College Bapatla, 522102 - India
Mr. Ramesh Babu Inampudi
Department of Computer Science and Engineering Acharya Nagarjuna University Guntur, 522510 - India

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