Digital image forensic using deep flower pollination with adaptive Harris hawk optimization

Author:

Sabeena M.,Abraham Lizy

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Copy-move forgery detection algorithm based on binarized statistical image features and principal component analysis;Journal of Electronic Imaging;2024-07-04

2. Transformer Network-based Image Segmentation using Hybrid Flower Pollination Optimization;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

3. Modified Deep-Convolution Neural Network Model for Flower Images Segmentation and Predictions;Multimedia Tools and Applications;2023-08-23

4. Copy-move Image Forgery Detection and Localization Using Alteration Trace Net;2022 IEEE International Power and Renewable Energy Conference (IPRECON);2022-12-16

5. Block-based copy-move forgery detection in digital images: a survey;2022 International Symposium on iNnovative Informatics of Biskra (ISNIB);2022-12-07

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