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Towards Robust Rain Removal with Unet

Computers, Materials & Continua 2023年第4期75卷 879-890页

作者： Boxia Hu Yaqi Sun Yufei Yang Ze Ouyang Feng Zhang School of Mathematics Hunan UniversityChangsha410082China College of Mathematics and Statistics Hengyang Normal UniversityHengyang421002China College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China School of Mathematics Changsha UniversityChangsha410022China

Image deraining has become a hot topic in the field of computervision. It is the process of removing rain streaks from an image to reconstructa high-quality background. This study aims at improving the performance ofimage rain streak removal and reducing the disruptive effects caused by *** better fit the rain removal task, an innovative image deraining method isproposed, where a kernel prediction network with Unet++ is designed andused to filter rainy images, and rainy-day images are used to estimate thepixel-level kernel for rain removal. To minimize the gap between synthetic andreal data and improve the performance in real rainy image handling, a lossfunction and an effective data optimization method are suggested. In contrastwith other methods, the loss function consists of Structural Similarity Indexloss, edge loss, and L1 loss, and it is adopted to improve performance. Theproposed algorithm can improve the Peak Signal-to-Noise ratio by 1.3% whencompared to conventional approaches. Experimental results indicate that theproposed method can achieve a better efficiency and preserve more imagestructure than several classical methods.

关键词： Rain removal edge optimization robust Unet++

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A Reversible Data Hiding Algorithm Based on Image Camouflage and Bit-Plane Compression

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Computers, Materials & Continua 2021年第8期68卷 2634-2650页

作者： Jianyi Liu Ru Zhang Jing Li Lei Guan Cheng Jie Jiaping Gui School of Cyberspace Security Beijing University of Posts and TelecommunicationsBeijing100876China Network Security Monitoring Center State Grid Information&Telecommunication BranchBeijing100761China School of Electrical Engineering Tsinghua UniversityBeijing100091China Data Science and System Security Department NEC Labs AmericaPrinceton08540America

Reversible data hiding in encrypted image(RDHEI)is a widely used technique for privacy protection,which has been developed in many applications that require high confidentiality,authentication and *** RDHEI methods do not allow high embedding rate while ensuring losslessly recover the original ***,the ciphertext form of encrypted image in RDHEI framework is easy to cause the attention of *** paper proposes a reversible data hiding algorithm based on image camouflage encryption and bit plane compression.A camouflage encryption algorithm is used to transform a secret image into another meaningful target image,which can cover both secret image and encryption behavior based on“plaintext to plaintext”*** edge optimization method based on prediction algorithm is designed to improve the image camouflage encryption *** reversible data hiding based bit-plane level compression,which can improve the redundancy of the bit plane by Gray coding,is used to embed watermark in the camouflage *** experimental results also show the superior performance of the method in terms of embedding capacity and image quality.

关键词： Reversible data hiding image camouflage bit plane compression encryption edge optimization

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