Image Quality Assessment Algorithms for JPEG and JPEG2000 Images: A Comparative Study

The quality of images get degraded due to distortion at any stage of capturing, transmission, compression, and reproduction etc. Therefore, to evaluate the quality, a large number of objective image quality assessment (IQA) algorithms/metrics were developed and many more are forthcoming. Each of these algorithm has its own merits and demerits in terms of complexity and accuracy. In this paper, performance of some of the recently full reference and no reference IQA algorithms against specific distortion due to JPEG and JPEG2000 compression and overall distortion on three popular public databases TID2008, LIVE and CSIQ is investigated. To measure and compare the performance, Spearman's rank order correlation coefficient (SROCC), which is reported in most of the literature, is used. It is found that almost all the metrics including PSNR give good performance for specific distortion due to JPEG and JPEG2000 compression. However, the performance degrades when the algorithms are applied on overall distortions. Moreover, IQA algorithms' performance varies largely with the database. It is also noticed that many IQA metrics give similar performance for both JPEG and JPEG2000 compressed images.