A Hybrid Image Quality Measure for Automatic Image Quality Assessment

Abstract. Automatic image quality assessment has many diverse applications. Existing quality measures are not accurate representatives of the human perception. We present a hybrid image quality (HIQ) measure, which is a combination of four existing measures using an ‘n’ degree polynomial to accurately model the human image perception. First we undertook time consuming human experiments to subjectively evaluate a given set of training images, and resultantly formed a Human Perception Curve (HPC). Next we define a HIQ measure that closely follows the HPC using curve fitting techniques. The HIQ measure is then validated on a separate set of images by similar human subjective experiments and is compared to the HPC.The coefficients and degree of the polynomial are estimated using regression on training data obtained from human subjects. Validation of the resultant HIQ was performed on a separate validation data. Our results show that HIQ gives an RMS error of 5.1 compared to the best ...

• Type: Conference
• Year: 2009
• Where: SCIA
• Authors: Atif Bin Mansoor, Maaz Haider, Ajmal S. Mian, Shoab A. Khan
• Keywords: HIQ Measure, Human, Human Perception, Image, SCIA 2009