Linear Space-Variant Model and Restoration Algorithm of Imaging System

Yao Long Qi; Zi Yu Cheng

doi:10.4028/www.scientific.net/AMM.608-609.559

Paper Titles

Research and Application of Self-Organizing SimpliciTI Network Protocol
p.541

The Research and Realization of Aggregation Algorithm for Aggregating Topological Nodes Based on Web GIS in Network Management
p.545

Design and Development of Trade Detector Based on Distributed Computing Technology
p.550

Quick Registration Method Based on Image Region Correlation
p.555

Linear Space-Variant Model and Restoration Algorithm of Imaging System
p.559

Vehicle Security System Design Based on Material Internet Technology
p.568

Visualization Interface and Integration Technology of Grid Information Based on Computer Database Principle
p.575

Application of Computer Technology in the Design of the Third Party E-Commerce Platform
p.580

Embedded Multimedia Technology Based on Matrix Eigenvalue Extraction Algorithm
p.585

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 608-609Linear Space-Variant Model and Restoration...

Linear Space-Variant Model and Restoration Algorithm of Imaging System

Abstract:

Imaging quality not only is one of the important criteria for the quality of imaging system, but also is the emphasis of designing a high-quality imaging system. For digital image processing, there are many methods of image restoration for images with noise pollution. The paper tries restoring the fundamental reason making imaging quality degraded, which is image error of lens. While reducing the design requirements of traditional optical system, the paper tries erasing aberration of optical image system, which can achieve good imaging quality.

You might also be interested in these eBooks

Computer-Aided Design, Manufacturing, Modeling and Simulation IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 608-609)

Pages:

559-567

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.608-609.559

Citation:

Cite this paper

Online since:

October 2014

Authors:

Yao Long Qi*, Zi Yu Cheng

Keywords:

Degrdataion Model, Image Restoration, Space-Variant System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] A. Germani Iand L. Jetto Image modeling and restoration: A new approach, Circuits Systems Signal Process, vol. 7, No4, (1988).

DOI: 10.1007/bf01599919

Google Scholar

[2] Robbins G M, Huang T S. Inverse filtering for linear shift-variant imaging systems [ J ]. Proceedings of IEEE, 1972, 60 ( 7 ) : 862-871.

DOI: 10.1109/proc.1972.8785

Google Scholar

[3] H. J Trussel, B. R. Hunt. Image restoration of space variant blurs by sectioned methods. IEEE Transactions on Acoustics, Speech and Signal Processing, 1978, 26(2): 608-609.

DOI: 10.1109/tassp.1978.1163161

Google Scholar

[4] Gregory Hallock Smith ractical Computer-Aided Lens Design(On ZEMAX) (2001).

Google Scholar

[5] introduce to lens design with Zemax for practical example (Electronic edition).

Google Scholar

[6] Huang Zhonglin, Control system MATLA Bcalculation and simulation, National Defence Industry Press, (2001).

Google Scholar

[7] Jiang Yuesong, One-dimensional numerical calculation of point spread function and MATBLE implementation, Infrared and Laser Engineering, 2004, Vol. 33, No. 4.

Google Scholar

[8] Yan Xueqiang, Ye Xiuqing, Liu Jilin, Two-dimensional adaptive ordering filter and implementation problems, Communication Journal, 1997, 18(9): 32-34.

Google Scholar