Image Denoising Using Adaptive and Overlapped Average Filtering and Mixed-Pooling Attention Refinement Networks

Ming-Hao Lin, Zhi-Xiang Hou, Kai-Han Cheng, Chin-Hsien Wu and Yan-Tsung Peng
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Ming-Hao Lin: Department of Electronics and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
Zhi-Xiang Hou: Department of Computer Science, National Chengchi University, Taipei 11605, Taiwan
Kai-Han Cheng: Department of Computer Science, National Chengchi University, Taipei 11605, Taiwan
Chin-Hsien Wu: Department of Electronics and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
Yan-Tsung Peng: Department of Computer Science, National Chengchi University, Taipei 11605, Taiwan

Mathematics, 2021, vol. 9, issue 10, 1-12

Abstract: Cameras are essential parts of portable devices, such as smartphones and tablets. Most people have a smartphone and can take pictures anywhere and anytime to record their lives. However, these pictures captured by cameras may suffer from noise contamination, causing issues for subsequent image analysis, such as image recognition, object tracking, and classification of an object in the image. This paper develops an effective combinational denoising framework based on the proposed Adaptive and Overlapped Average Filtering (AOAF) and Mixed-pooling Attention Refinement Networks (MARNs). First, we apply AOAF to the noisy input image to obtain a preliminarily denoised result, where noisy pixels are removed and recovered. Next, MARNs take the preliminary result as the input and output a refined image where details and edges are better reconstructed. The experimental results demonstrate that our method performs favorably against state-of-the-art denoising methods.

Keywords: image denoising; overlapped averaging; mixed-pooling attention (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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