Full Reference-Image Quality Assessment with Global and Local Image Regions for Visual Quality Perception and Optimization
Syed Shanawaz1, G. Amjad Khan2
1Syed Shanawaz, M. Tech, Department of Electronics and Communication Engineering, G Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India.
2G. Amjad Khan, Assistant Professor, Department of Electronics and Communication Engineering, G Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 July 2019 | PP: 352-356 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F10710486S419/19©BEIESP | DOI: 10.35940/ijitee.F1071.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Quality Assessment (IQA) by using mathematical methods is offering favorable results in calculating visual quality of distorted images. These methods are developed by examining effective features that are compatible with characteristics of Human Visual System (HVS). But many of those methods are difficult to apply for optimization problems. This paper presents DCT based metric with easy implementation and having mathematical properties like differentiability, convexity and valid distance metricability to overcome the optimization problems. By using this method we are able to calculate the quality of image as a whole as well as the quality of local image regions.
Keywords: Human Visual System, Image Quality Assessment, Image Quality Optimization Problem.
Scope of the Article: Communication