Earticle

초록

영어

This paper mainly studies a kind of different from the traditional signal processing theory, compressed sensing. The theory in the process of data transmission greatly save the space and the cost of storage and transmission is a new breakthrough in the data mining technology. Application of compressed sensing principle, the discrete tracking algorithm combined with matrix learning algorithm, to deal with the noise of original image. Through a large number of experiments show that the fusion algorithm is better than other similar algorithms in terms of denoising, is a better image denoising technique.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Discrete Tracking Algorithm
  2.2. Matrix Learning Algorithm
 3. The Image Denoising Process Design
 4. Analysis of Simulation Results
 5. Conclusion
 References

키워드

저자

• Hualin Sun [ Changzhou Institute of mechatronic technology, Changzhou, China ]
• Shengyao Hu [ Changzhou Institute of technology, Changzhou, China, Jiangsu University, Zhenjiang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605