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논문검색

Research on Sensing Compression Method in Image Denoising

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

저자정보

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

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