Convolutional sparse-coding-based 3DV image super-resolution framework

Walid El‐Shafai; Mohamed Abd El-Fatah; Moawad I. Dessouky; Ashraf A. M. Khalaf; Fathi E. Abd El‐Samie

doi:10.1007/s12596-023-01235-5

ScienceGate Book Chapters

JOURNAL ARTICLE

Convolutional sparse-coding-based 3DV image super-resolution framework

Walid El‐Shafai Mohamed Abd El-Fatah Moawad I. Dessouky Ashraf A. M. Khalaf Fathi E. Abd El‐Samie

Year: 2024 Journal: Journal of Optics Vol: 53 (5)Pages: 4930-4942 Publisher: Springer Nature

DOI: 10.1007/s12596-023-01235-5

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Coding (social sciences) Artificial intelligence Neural coding Image (mathematics) Pattern recognition (psychology) Superresolution Convolutional neural network Convolutional code Computer vision Optics Algorithm Physics Mathematics Decoding methods Statistics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.02

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Convolutional sparse-coding-based 3DV image super-resolution framework

Metrics

Topics

Related Documents

Convolutional Sparse Coding for Image Super-Resolution

Joint Sparse Convolutional Coding for Image Super-Resolution Restoration

Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution

Image super-resolution by learning weighted convolutional sparse coding

Image Super-Resolution with Fast Approximate Convolutional Sparse Coding