Quality Enhancement in Security Image Information
Milos Klima, Karel Fliegel, Jan Švihlík · 2006
The image quality of image or video information is a crucial issue in security imaging systems. Our paper deals with three different points - a posteriori image improvement, objective image quality assessment and noise removal. In the first part we have tested and evaluated the impact of edge-enhancing operators. Their performance is of two contradictory effects -edge sharpening and noise level increase. The second part summarizes the ANN application in the objective image quality evaluation procedure. The advanced approach is based upon two advanced methods - mutual information MI and principal component analysis PCA. The third part is devoted to the DWT noise-removal technique and the experimental results are presented