Image Denoising Based on Improved Wavelet Threshold Function for Wireless Camera Networks and Transmissions. (30th September 2015)

• Record Type: Journal Article
• Authors: Wang, Xiaoyu; Ou, Xiaoxu; Chen, Bo-Wei; Kim, Mucheol
• Other Names: Rho Seungmin Academic Editor.
• Is Part Of: International journal of distributed sensor networks. (2015)
• Publication Date: 2015-09-30
• Subjects: Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1155/2015/670216
• Languages: English
• ISSNs: 1550-1329

Abstract

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).