Fourier transform-based scalable image quality measure

• Main Authors: Narwaria, Manish, Lin, Weisi, McLoughlin, Ian Vince, Emmanuel, Sabu, Chia, Clement Liang-Tien
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99218; http://hdl.handle.net/10220/13464
• Institution: Nanyang Technological University

We present a new image quality assessment algorithm based on the phase and magnitude of the 2-D discrete Fourier transform. The basic idea is to compare the phase and magnitude of the reference and distorted images to compute the quality score. However, it is well known that the human visual system&...