Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal and image restoration using shock filters and anisotropic diffusion
SIAM Journal on Numerical Analysis
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Geometric partial differential equations and image analysis
Geometric partial differential equations and image analysis
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
International Journal of Computer Vision
Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
An axiomatic approach to image interpolation
IEEE Transactions on Image Processing
Image interpolation using neural networks
IEEE Transactions on Image Processing
Wavelet domain image restoration with adaptive edge-preserving regularization
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
IEEE Transactions on Image Processing
Complete parameterization of piecewise-polynomial interpolation kernels
IEEE Transactions on Image Processing
A novel image interpolation method based on both local and global information
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
A fully automatic one-scan adaptive zooming algorithm for color images
Signal Processing
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In this paper a new algorithm for image magnification is presented. Because linear magnification/interpolation techniques diminish the contrast and produce sawtooth effects, in recent years, many nonlinear interpolation methods, especially nonlinear diffusion based approaches, have been proposed to solve these problems. Two recently proposed techniques for interpolation by diffusion, forward and backward diffusion (FAB) and level-set reconstruction (LSR), cannot enhance the contrast and smooth edges simultaneously. In this article, a novel Partial Differential Equations (PDE) based approach is presented. The contributions of the paper include: firstly, a unified form of diffusion joining FAB and LSR is constructed to have all of their virtues; secondly, to eliminate artifacts of the joint diffusion, soft constraint takes the place of hard constraint presented by LSR; thirdly, the determination of joint coefficients, criterion for stopping time and color image processing are also discussed. The results demonstrate that the method is visually and quantitatively better than Bicubic, FAB and LSR.