Volume 8 Number 4 (Apr. 2013)
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JSW 2013 Vol.8(4): 893-899 ISSN: 1796-217X
doi: 10.4304/jsw.8.4.893-899

Two-Dimensional Wavelet Transform De-noising Algorithm in Collecting Intelligent Agriculture Image

Laiwu Yin1, 2, Deyun Chen1, 2, Changcheng Li1, 2
1Harbin University of Science and Technology, Harbin, China
2Jilin Agricultural Science and Technology College, Jinlin, China

Abstract—The paper puts forward an image de-noising method based on 2D wavelet transform with the application of the method in agricultural data collection system. As the there are influences of various factors in the collection process through wireless image sensor network, the detail signals of each scale are obtained from multi-scale analysis to replace the original signals with smooth low-frequency signals by applying 2D wavelet transform in de-nosing the images collected. The experiment result shows that the application of 2D wavelet transform image de-noising algorithm can achieve good subjective and objective image quality and help to collect high quality data and analyze the images for the data center with optimum effects.

Index Terms—Agricultural image collection, de-noising, 2D wavelet transform, wireless sensor.


Cite: Laiwu Yin, Deyun Chen, Changcheng Li, "Two-Dimensional Wavelet Transform De-noising Algorithm in Collecting Intelligent Agriculture Image," Journal of Software vol. 8, no. 4, pp. 893-899, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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