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Super-resolution reconstruction algorithms have been extensively studied for the last years. However, despite the progress made in this field, many issues remain to be solved. Some of them are basically omitted and their importance is trivialized. Routinely, for instance, researchers are willing to make the relative motion model simpler than it should be considered. The commonly applied non-rigid...
Accurate and fast estimation of noise levels from medical images has numerous applications in medical image processing, including image enhancement, image segmentation and feature extraction. In this paper, a block-based noise level estimation algorithm in SVD domain is proposed. The proposed algorithm employs the non-overlapping block image segmentation to estimate homogenous image regions. Each...
This paper explores the subject of extracting skeletons from 3D binary images. It draws attention to the flaws found in the available skeletonization implementations. The most popular algorithm devised by Lee, Kashyap and Chu is analyzed. It is shown that despite good results, some aspects of said algorithm can be further improved upon. An own implementation, with some modifications is made and compared...
Keypoint detection is a basic step in many computer vision algorithms aimed at recognition of objects, automatic navigation, medicine and other application fields. Successful implementation of higher level image analysis tasks, however, is conditioned by reliable detection of characteristic image local regions termed keypoints. A large number of keypoint detection algorithms has been proposed and...
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