مرکز منطقه ای اطلاع رساني علوم و فناوري - IMAGE DE-BLURRING BASED ON EDGE TRANSITIONS

Abstract :

In this study, a method is proposed to eliminate blurring which one of the biggest problems in image processing. The blurring can be expressed as being very soft color transitions and the lack of clear edge. In this study, a filtering process was performed using the edge transitions for out-of-focus. The row, column and cross-pixel values were used in order to obtain a sharper transition from blur transition in the image based on the blur image. The pixel values on image were re-calculated using the difference of rows, columns, cross-pixels. Sharper transitions are trying to achieve without distorting the originality of the image. The method is compared with mean, median, wiener, sharpening filters which are widely used in image processing research. Image quality metrics were used to as comparison parameters. The proposed method gave the best results according to these comparisons.