| Abstract | In the last years, image quality assessment became a very hot research topic especially for compression of image and video, first because of the large availability of multimedia applications and contents, and then because many scientists/engineers need to make a selection of algorithms and tools. This tutorial is designed to cover several aspects of the field of image quality assessment. After a brief introduction about the needs of quality assessment for multimedia applications, a review of the main approaches will be made by giving a description of the metrics categories and the subjective paradigms. At this point, it is important to distinguish between Full reference, reduced reference and no reference metrics but also understand the difference between image and video quality assessment. The focus of this course will be put on how to answer the question: which quality procedure for which application and which content? Another important topic for this course is on how to measure the performance of a given metric for a given application. Several practical examples will allow to better handle the quality assessment problem. |