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).
- Files in This Item
-
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60292)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.