Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision
An efficient algorithm for superresolution in medium field imaging
Multidimensional Systems and Signal Processing
A fast algorithm for image super-resolution from blurred observations
EURASIP Journal on Applied Signal Processing
Super-resolution for synthetic zooming
EURASIP Journal on Applied Signal Processing
Robust fusion of irregularly sampled data using adaptive normalized convolution
EURASIP Journal on Applied Signal Processing
Survey and analysis of multimodal sensor planning and integration for wide area surveillance
ACM Computing Surveys (CSUR)
Robust Super-Resolution Using a Median Filter for Irregular Samples
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
A multi-frame image super-resolution method
Signal Processing
A super-resolution reconstruction algorithm for surveillance images
Signal Processing
Analysis of multiframe super-resolution reconstruction for image anti-aliasing and deblurring
Image and Vision Computing
Super-resolution using sub-band constrained total variation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Physically motivated enhancement of color images for fiber endoscopy
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Super resolution via sparse representation in l1 framework
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Hi-index | 0.01 |
An algorithm based on spatial tessellation and approximation of each triangle patch in the Delaunay (1934) triangulation (with smoothness constraints) by a bivariate polynomial is advanced to construct a high resolution (HR) high quality image from a set of low resolution (LR) frames. The high resolution algorithm is accompanied by a site-insertion algorithm for update of the initial HR image with the availability of more LR frames till the desired image quality is attained. This algorithm, followed by post filtering, is suitable for real-time image sequence processing because of the fast expected (average) time construction of Delaunay triangulation and the local update feature.