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Image Denoising Based on Improved Wavelet Threshold Function for Wireless Camera Networks and Transmissionsopen access

Authors
Wang, X.Ou, X.Chen, B.-W.Kim, M.
Issue Date
Sep-2015
Publisher
Hindawi Publishing Corporation
Citation
International Journal of Distributed Sensor Networks, v.2015
Journal Title
International Journal of Distributed Sensor Networks
Volume
2015
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60292
DOI
10.1155/2015/670216
ISSN
1550-1329
1550-1477
Abstract
A new wavelet threshold denoising function and an improved threshold are proposed. It not only retains the advantages of hard and soft denoising functions but also overcomes the disadvantages of the continuity problem of hard denoising function and the constant deviation of the soft denoising function in the new method. In the case of the improved threshold conditions, the new threshold function has a better performance in outstanding image details. It can adapt to different images by joining an adjusting factor. Simulation results show that the new threshold function has a better ability of performing image details and a higher peak signal to noise ratio (PSNR).
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소프트웨어대학 (소프트웨어학부)
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