Image magnification method using joint diffusion
Journal of Computer Science and Technology - Special issue on computer graphics and computer-aided design
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
Fuzzy-adapted linear interpolation algorithm for image zooming
Signal Processing
A fast edge-oriented algorithm for image interpolation
Image and Vision Computing
An image zooming technique based on vector quantization approximation
Image and Vision Computing
Fast and robust filtering-based image magnification
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Regularity-preserving image interpolation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An edge-guided image interpolation algorithm via directional filtering and data fusion
IEEE Transactions on Image Processing
The Error-Amended Sharp Edge (EASE) Scheme for Image Zooming
IEEE Transactions on Image Processing
A Bayesian approach to image expansion for improved definition
IEEE Transactions on Image Processing
Enlargement or reduction of digital images with minimum loss of information
IEEE Transactions on Image Processing
An automatic image scaling up algorithm
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
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We present an interpolation algorithm for adaptive color image zooming. The algorithm produces the magnified image in one scan of the input image, and is fully automatic since does not involve any a priori fixed threshold. Given any integer zooming factor n, each pixel of the input image generates an nxn block of pixels in the zoomed image. For the currently visited pixel of the input image, the pixels of its associated block are first assigned tentative values, which are then adaptively updated before building the next block. The method is suggested for RGB images, but can equally be employed in other color spaces. Peak signal to noise ratio (PSNR) and Structural SIMilarity (SSIM) are used to evaluate the performance of the algorithm.