Wiener filter-based wavelet domain denoising

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• 作者：Jin Wang^a ; ^b ; ^{chwj0605@hotmail.com} ; Jiaji Wu^c ; ^{wujj@mail.xidian.edu.cn} ; Zhensen Wu^a ; ^{wuzhs@mail.xidian.edu.cn} ; Jechang Jeong^b ; ^{jjeong@hanyang.ac.kr} ; Gwanggil Jeon^c ; ^d ; ^{ggjeon@gmail.com}
• 关键词：Wiener filter ; Image denoising ; High resolution estimation
• 刊名：Displays
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：46
• 期：Complete
• 页码：37-41
• 全文大小：945 K
• 卷排序：46

文摘

Our proposed method determines the signal power while preserving the edge information. We assume that a noisy image is composed of noise and the original image, which are mutually orthogonal. We utilize the local covariance to obtain high-resolution coefficient from the low-resolution coefficients. We also utilize the local covariance to estimate the signal variance in the Wiener filter by using the high resolution values.