Abstract
The subject of research is improvement and evaluating of the quality of digital processing of the image for the purpose of removing undesired defects (artifacts) in the form of strobe effects. The article presents new evaluating techniques for strobe effects on images based on defining image boundaries by Canny and Prewitt methods. There have been examined the possibilities of estimating the strobe effects on raster images represented by RGB color model. Evaluation of strobe effects is carried out by comparing the contours selected by Canny and Prewitt methods for individual color components (red, green, blue) and gray scale images. On the selected contours there are determined their minimum and maximum coordinates, by which the boundaries of the contours are differentiated. As shown by experiments, this approach can serve as a numerical metric for strobe effects on raster images. Another proposed approach in assessing strobe effects is to compare the area of circles obtained from previous calculations. The ratio of the smaller area to the larger one can serve as a numerical metric for estimating strobe effects on raster images. The proposed metrics are supplied with numerical calculations and graphic illustrations.
Highlights
The tasks of digital image processing are very diverse
The article presents new evaluating techniques for strobe effects on images based on defining image boundaries by Canny and Prewitt methods
There have been examined the possibilities of estimating the strobe effects on raster images represented by RGB color model
Summary
The tasks of digital image processing are very diverse. First of all, it concerns the improvement of image quality. As shown by model experiments, the results of the selection of the main contours of the image are significantly different for the methods of Canny and Prewitt This difference was the basis for the evaluation of strobe effects. The corresponding differences of the horizontal and vertical boundaries obtained by the methods of Canny and Prewitt are adopted as metrics for estimating strobe effects in the image. These operations were implemented in the MATLAB system. In this case, a full-color RGB image is converted to a grayscale, gray image.
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