Fundamentals of digital image processing
Fundamentals of digital image processing
Super-Resolution Reconstruction of Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet Algorithms for High-Resolution Image Reconstruction
SIAM Journal on Scientific Computing
Smoothing Images by a Probability Filter
INTSYS '98 Proceedings of the IEEE International Joint Symposia on Intelligence and Systems
An edge-preserving image interpolation system for a digital camcorder
IEEE Transactions on Consumer Electronics
Extraction of high-resolution frames from video sequences
IEEE Transactions on Image Processing
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
High-quality image resizing using oblique projection operators
IEEE Transactions on Image Processing
Demosaicing: image reconstruction from color CCD samples
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
We present a novel hybrid scheme called "hyper-resolution" that integrates image probability-filtering-based interpolation and improved Poisson maximum a posteriori (MAP) super-resolution to respectively enhance high spatial and spatial-frequency resolutions of a single down-sampled image. A new approach to interpolation is proposed for simultaneous image interpolation and smoothing by exploiting the probability filter coupled with a pyramidal decomposition and the Poisson MAP super-resolution is improved with the techniques of edge maps and pseudo-blurring. Simulation results demonstrate that this hyper-resolution scheme substantially improves the quality of a single gray-level, color, or noisy image, respectively.