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Investigation of Full-Reference Image Quality Assessment

  • Dibyasundar Das
  • Ajit Kumar Nayak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 309)

Abstract

The errors in imaging system create distorted image which affect the human perception of the image. This degradation in quality of image can be evaluated by image quality assessment (IQA) methods. To evaluate human subjectivity, the techniques need to follow the method of human visual system (HVS). The processing of image in extra cortical region of human brain is still unknown. Many attempts have been made to give an IQA algorithm that follows the philosophy of human observations. A brief experimental study of these philosophies has been made in this paper, which would help researchers to develop much improved IQA techniques in future.

Keywords

Image quality assessment (IQA) Subjective score Objective score SRCC KRCC SSIM IWSSIM Neural network 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.SOA UniversityBhubaneswarIndia

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