This report concerns human perception and its applications to the domain of computer graphics. Having in mind human perception limitations, we can design a perceptually optimized approach to virtually any issue of contemporary computer graphics. Such a perceptually optimized approach enable us either to visualize information more effectively and consequently to grasp important ideas and information from the depiction at a glance, or to save computational time or improve the quality of results by removing perceptually non-important parts of visual simulation. Initially, we outline the anatomy of human visual system (HVS) and characteristics of human perception. Consecutively, we summarize the usage of HVS knowledge in computer graphics, we point out the bottlenecks of contemporary methods and we give the suggestions for future research. Specifically, we cover the issues of the image quality testing, the image comparison, and the acceleration of visual simulations and rendering. Finally, we present an experimental study on comparing image-processing operators.