NEW MODEL FOR EVALUATION OF THE PERCEIVED IMAGE QUALITY BY SMARTPHONE USERS

Pinchas ZOREA Moldova State University

Abstract

Mobile devices, like smartphones and tablet computers, became an essential part in our life. Image quality assessment plays an important role in various image processing applications. A great deal of effort has been made in recent years to develop “objective” image quality metrics that correlate with perceived quality measurement. Unfortunately, only limited success has been achieved. In this paper, I provide a quantitative method to evaluate perceived image quality of color images on mobile displays. Five image quality factors - Vividness, Brightness, Clarity, Sharpness and Contrast were chosen to represent perceived image quality. Image quality assessment models are constructed based on results of human visual experiments compared with image analysis by SW tool. Values of parameters of image quality assessment models are estimated based on results from human visual experiments, and a new model is proposed based on the human visual tests and computer image analysis. Keywords: Perceived IQ (Image Quality), Human Visual Experiments, MOS (Mean opinion score), subjective IQ.