Subjective and Objective Quality Assessment of Image: A Survey

Understand

With the increasing demand for image-based applications, the efficient and reliable evaluation of image quality has increased in importance.

• Measuring the image quality is of fundamental importance for numerous image processing applications, where the goal of image quality assessment (IQA) methods is to automatically evaluate the quality of images in agreement with human quality judgments.
• Numerous IQA methods have been proposed over the past years to fulfill this goal.
• In this paper, a survey of the quality assessment methods for conventional image signals, as well as the newly emerged ones, which includes the high dynamic range (HDR) and 3-D images, is presented.