Edge-Forming Methods for Image Zooming
Journal of Mathematical Imaging and Vision
Equalized net diffusion (END) in Image denoising
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
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Image and Vision Computing
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IEEE Transactions on Image Processing
Selective data pruning-based compression using high-order edge-directed interpolation
IEEE Transactions on Image Processing
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Signal Processing
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EURASIP Journal on Advances in Signal Processing
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IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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The Journal of Supercomputing
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Pattern Recognition
Journal of Visual Communication and Image Representation
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ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Anisotropic Probabilistic Neural Network for Image Interpolation
Journal of Mathematical Imaging and Vision
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This paper introduces edge-forming schemes for image zooming of color images by general magnification factors. In order to remove/reduce artifacts arising in image interpolation, such as image blur and the checkerboard effect, an edge-forming method is suggested to be applied as a postprocess of standard interpolation methods. The method is based on nonconvex nonlinear partial differential equations. The equations are carefully discretized, incorporating numerical schemes of anisotropic diffusion, to be able to form reliable edges satisfactorily. The alternating direction implicit (ADI) method is employed for an efficient simulation of the model. It has been numerically verified that the resulting algorithm can form clear edges in 2 to 3 ADI iterations. Various results are given to show th effectiveness and reliability of the algorithm.