Image quality and QoE in multimedia systems

The image and video sensing and processing systems are of high importance nowadays. The crucial parameter is image quality as a part of QoS or more recently QoE (Quality of Experience) as a subjective impact (perception). This invited paper deals with various qualitative aspects in imaging systems. The first part is devoted to the modeling of HVS and image quality evaluation. A model for prediction of perceived quality of degraded images is presented. This model is optimized while incorporating visual attention coordinates. In the following parts four different examples of qualitative impacts (distortions and artifacts) of image post-processing are listed and shown. The first one is the image enhancement, second one image restoration by iterative detectors based on the maximum a posteriori probability criterion, third one image interpolation and finally fourth one image compression and transmission.