A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast B-spline Transforms for Continuous Image Representation and Interpolation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast algorithm for Euclidean distance maps of a 2-D binary image
Information Processing Letters
Digital image processing
A unified linear-time algorithm for computing distance maps
Information Processing Letters
A cubic unsharp masking technique for contrast enhancement
Signal Processing
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
An edge-preserving image interpolation system for a digital camcorder
IEEE Transactions on Consumer Electronics
Warped distance for space-variant linear image interpolation
IEEE Transactions on Image Processing
Edge-directed prediction for lossless compression of natural images
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
2D Euclidean distance transform algorithms: A comparative survey
ACM Computing Surveys (CSUR)
Fast distance transformation on irregular two-dimensional grids
Pattern Recognition
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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 unified 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.