Blind image quality assessment based on natural statistics of double-opponency

• Main Authors: Sybingco, Edwin, Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2018
• Subjects: Gaussian distribution; Imaging systems—Image quality; Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2003
• Institution: De La Salle University

One of the challenges in image quality assessment (IQA) is to determine the quality score without the presence of the reference image. In this paper, the authors proposed a no-reference image quality assessment method based on the natural statistics of double opponent (DO) cells. It utilizes the sta...