Distance Map Based Enhancement for Interpolated Images
Distance maps have many applications in computer vision, pattern recognition, morphology and robotics. In this paper, an approach of Distance Map based Image Enhancement (DMIE) is proposed for improving the quality of interpolated images. In DMIE, edge detection is performed after images are interpolated by conventional interpolation schemes. A unidied linear-time algorithm for the distance transform is applied to deal with the calculation of Euclidean distance from pixels to edges in the image. The intensities of pixels that are located around edges are adjusted according to the distance to the edges. DMIE produces a visually pleasing sharpening of edges in interpolated images.
KeywordsImage Enhancement Edge Pixel Black Strip Image Interpolation Bicubic Interpolation
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