Study of UAV Image Denoising Based on Adaptive Two-Dimension Unsaturated System

Author:

Li Yong1ORCID,Sun Ximin1ORCID,Jia Jiangkai2ORCID,Wang Shuia1ORCID,Li Huichao1ORCID,Sun Bo1ORCID,Zheng Bin1ORCID

Affiliation:

1. Intelligence Research Department (Artificial Intelligence Laboratory), State Grid E-commerce Technology Co., Ltd., China

2. Science and Technology on Parallel and Distributed Processing Laboratory, State Grid E-commerce Technology Co., Ltd., China

Funder

State Grid Ecommerce Technology Co.,Ltd.

Publisher

ACM

Reference25 articles.

1. Adaptive threshold optimization denoising method based on wavelet transform;Niu H.;Transducer and Microsystem Technologies,2020

2. A Machine Learning Approach to Identify Stochastic Resonance in Human Perceptual Thresholds;Jamie V.;Journal of Neuroscience Methods, 109559.,2022

3. Image denoising method based on improved threshold function;Shuai M.;Technologies,2019

4. Niu , P. , Ma X. , Mao , R. ( 2020 ). “ Research on UAV image denoising effect based on improved Wavelet Threshold of BEMD ”. 2019 2nd International Symposium on Big Data and Applied Statistics, 1437: 012032 . Niu, P., Ma X., Mao, R. (2020). “Research on UAV image denoising effect based on improved Wavelet Threshold of BEMD”. 2019 2nd International Symposium on Big Data and Applied Statistics, 1437: 012032.

5. Image denoising algorithm based on weighted Lp norm and total variation norm;Fu P.;Transducer and Microsystem Technologies,2020

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