DocumentCode
518996
Title
Notice of Retraction
Research on denoising of license plate image based on wavelet technology
Author
Xiaoping Li ; Xiaoxing Lv ; Yinxiang Li ; Jianqiang Xu
Author_Institution
Dept. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
fYear
2010
fDate
11-13 May 2010
Firstpage
349
Lastpage
354
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
There are some limitation in the traditional denoising method. In the condition of low signal noise ratio, not only cannot greatly improve the signal noise ratio but the position of the signal is blured after the process of filter. Denoising method based on wavelet transform is proposed to solve the problem. The problem of how to choose a quotiety of wavelet transform domain is emphatically discussed. Wavelet technology is applied to direct the traffic of Olympic Games to locate and identify various vehicles.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
There are some limitation in the traditional denoising method. In the condition of low signal noise ratio, not only cannot greatly improve the signal noise ratio but the position of the signal is blured after the process of filter. Denoising method based on wavelet transform is proposed to solve the problem. The problem of how to choose a quotiety of wavelet transform domain is emphatically discussed. Wavelet technology is applied to direct the traffic of Olympic Games to locate and identify various vehicles.
Keywords
image denoising; wavelet transforms; Olympic Games; license plate image denoising; low signal noise ratio; wavelet technology; wavelet transform domain; Computer science; Filters; Licenses; Noise reduction; Signal processing; Signal to noise ratio; Vehicles; Wavelet coefficients; Wavelet domain; Wavelet transforms; denoising; filter; wavelet transform; wavelet transform domain;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location
Gyeongju
Print_ISBN
978-1-4244-6982-6
Type
conf
Filename
5488593
Link To Document