POCS Super-Resolution Sequence Image Reconstruction Based on Image Registration Excluded Aliased Frequency Domain

Chong Fan; Jianya Gong; Jianjun Zhu; Lihua Zhang

doi:10.1007/978-3-540-37275-2_155

ScienceGate Book Chapters

BOOK-CHAPTER

POCS Super-Resolution Sequence Image Reconstruction Based on Image Registration Excluded Aliased Frequency Domain

Chong Fan Jianya Gong Jianjun Zhu Lihua Zhang

Year: 2006 Lecture notes in computer science Pages: 1240-1245 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-37275-2_155

Get Full-Text PDF Get Analytical Report

Keywords:

Computer vision Artificial intelligence Projection (relational algebra) Image (mathematics) Image registration Rotation (mathematics) Dimension (graph theory) Frequency domain Image resolution Iterative reconstruction Resolution (logic) Algorithm Polar coordinate system Mathematics Computer science Geometry

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.06

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

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

POCS Super-Resolution Sequence Image Reconstruction Based on Image Registration Excluded Aliased Frequency Domain

Metrics

Citation History

Topics

Related Documents

POCS Super-Resolution Sequence Image Reconstruction Based on Image Registration Excluded Aliased Frequency Domain

POCS Super-Resolution Sequence Image Reconstruction Based on Improvement Approach of Keren Registration Method

Super-resolution image reconstruction from a sequence of aliased imagery

Blind Super-Resolution Image Reconstruction Based on Weighted POCS

Blind Super-Resolution Image Reconstruction Based on POCS Model