Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image magnification based on a blockwise adaptive Markov random field model
Image and Vision Computing
Regularity-preserving image interpolation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
An edge-guided image interpolation algorithm via directional filtering and data fusion
IEEE Transactions on Image Processing
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A discrete technique for image magnification is presented, which produces the resulting image in one scan of the input image and does not require any threshold. The technique allows the user to magnify an image with any integer zooming factor. The performance of the algorithm is evaluated by using the standard criterion based on the Peak Signal to Noise Ratio PSNR. The obtained results are visually good, since artifacts do not significantly affect the magnified images.