Адаптивна система оцінки якості графічних растрових зображень

Abstract

The problem of an estimation of graphic raster images quality is considered. Four versions of this area applied problems are formulated. All possible distortions and hindrances which arise when digital cameras use are analyzed. It is offered to estimate size of such distortions and hindrances by means of likelihood and Bayesian models. The structure of digital cameras quality estimation adaptive system which forms the integrated indicator of quality taking into account evolutionary and marketing trends and structure of its software is developed. The system can be adapted also for testing of digital scanners and videocameras.