Image Denoising Based on Improved Wavelet Threshold Function for Wireless Camera Networks and Transmissions | Zendy

Xiaoyu Wang | Zendy; Xiaoxu Ou | Zendy; BoWei Chen | Zendy; Mucheol Kim | Zendy

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

Author(s) -

Xiaoyu Wang,

Xiaoxu Ou,

BoWei Chen,

Mucheol Kim

Publication year - 2015

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2015/670216

Subject(s) - computer science , noise reduction , wavelet , function (biology) , image (mathematics) , artificial intelligence , non local means , video denoising , noise (video) , image denoising , signal (programming language) , computer vision , pattern recognition (psychology) , video processing , video tracking , evolutionary biology , multiview video coding , biology , programming language

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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