Inpainting of multiple blind motion-blurred images based on multi-scale tight wavelet frame

Cao, Chunhong; Duan, Wei; Wang, Minmin; Hu, Kai

doi:10.1109/compcomm.2017.8322857

2017 3rd IEEE International Conference on Computer and Communications (ICCC) 2017

DOI: 10.1109/compcomm.2017.8322857

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Inpainting of multiple blind motion-blurred images based on multi-scale tight wavelet frame

Chunhong Cao

Wei Duan

Minmin Wang

et al.

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2022

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Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics

Patil

2022

International Journal of Swarm Intelligence Research

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This paper intends to propose a new model for detecting the patch based inpainting operation using Enhanced Deep Belief Network (E-DBN). The proposing model makes strong supervising of DBN that will capture the manipulated information. In fact, the enhancement is done under optimization concept, where the activation function and weight of DBN is optimally tuned by a new hybrid algorithm termed as Swarm Mutated Lion Algorithm (SM-LA). The hybridization model combines two conventional models: Group Search Optimizer (GSO) and Lion Algorithm (LA). Finally, the performance of proposed model is compared over other conventional models with respect to certain performance measures.

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Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics

Patil

2022

International Journal of Swarm Intelligence Research

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Inpainting of multiple blind motion-blurred images based on multi-scale tight wavelet frame

Cited by 1 publication

References 10 publications

Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics

Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics

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