Image Super Resolution Using Sparse Image and Singular Values as Priors

S. Ravishankar; Challapalle Nagadastagiri Reddy; Shikha Tripathi; Kiran Murthy

doi:10.1007/978-3-642-23678-5_45

ScienceGate Book Chapters

BOOK-CHAPTER

Image Super Resolution Using Sparse Image and Singular Values as Priors

S. Ravishankar Challapalle Nagadastagiri Reddy Shikha Tripathi Kiran Murthy

Year: 2011 Lecture notes in computer science Pages: 380-388 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-23678-5_45

Get Full-Text PDF Get Analytical Report

Keywords:

Regularization (linguistics) Computer science Sparse approximation Prior probability Artificial intelligence Pattern recognition (psychology) K-SVD Interpolation (computer graphics) Superresolution Inverse problem Image resolution Image (mathematics) Inpainting Feature (linguistics) Algorithm Computer vision Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.03

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Super Resolution Using Sparse Image and Singular Values as Priors

Metrics

Citation History

Topics

Related Documents

Bayesian combination of sparse and non-sparse priors in image super resolution

Image super-resolution using nonlocally centralized sparse representation and fields of experts priors

Deep Mr Image Super-Resolution Using Structural Priors

Sparse Image Reconstruction using Sparse Priors

Single image super-resolution using sparse prior