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  Лаборатория математических методов обработки изображений Кафедра математической физики |
Basic edges Andrey Nasonov, Andrey Krylov Image metrics are used to objective compare two images. We consider the problem of evaluation of image enhancement algorithms like resampling, deringing, deblurring. The main idea is to find the areas where typical artifacts of image enhancement algorithms usually appear: blur and ringing artifacts.
Publications2012A. V. Nasonov, A. S. Krylov. “Edge quality metrics for image enhancement” // Pattern Recognition and Image Analysis, Vol. 22, No. 1, 2012, pp. 346−353. PDF. 2011A. V. Nasonov, A. S. Krylov. “Image enhancement quality metrics” // In: 21-th International Conference on Computer Graphics GraphiCon'2011. Moscow, Russia, 2011, pp. 128−131. PDF. A. V. Nasonov, A. S. Krylov. “Finding Areas of Typical Artifacts of Image Enhancement Methods” // Pattern Recognition and Image Analysis, Vol. 21, No. 2, 2011, pp. 316−318. PDF. 2010A. V. Nasonov, A. S. Krylov. “Basic Edges Metrics for Image Deblurring” // In: Proceedings of 10th Conference on Pattern Recognition and Image Analysis: New Information Technologies, Vol. 1. St. Petersburg, Russia, 2010, pp. 243−246. PDF. 2009A. V. Nasonov, A. S. Krylov. “Adaptive Image Deringing” // In: 19-th International Conference on Computer Graphics GraphiCon'2009. Moscow, Russia, 2009, pp. 151−154. PDF. |
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