Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Super-Resolution from Image Sequences - A Review
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
Adaptive Smoothing via Contextual and Local Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient implementation of image interpolation as an inverse problem
Digital Signal Processing
Extraction of high-resolution frames from video sequences
IEEE Transactions on Image Processing
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Fast and robust multiframe super resolution
IEEE Transactions on Image Processing
Hi-index | 0.00 |
An efficient method with systems of nonlinear partial difference equations (PDE) for image super-resolution was presented, in which geometric edge orientation estimated by the principle component analysis (PCA) method. Using the local and contextual discontinuity of image pixel's neighborhood, the robust orientation diffusion processes were exploited to enhance the sharpness of edges without incurring any additional artifacts. We also discuss the connection between the new PDE framework and the classical variational PDE method. Furthermore, the implementation scheme of the proposed approach was given by a novel finite difference method. Simulation results show that the proposed approach exhibited better performance than the standard linear interpolation and classical PDE approaches, particularly in the edge regions.