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Titlebook: Image Copy-Move Forgery Detection; New Tools and Techni Badal Soni,Pradip K. Das Book 2022 The Editor(s) (if applicable) and The Author(s),

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发表于 2025-3-21 18:04:03 | 显示全部楼层 |阅读模式
书目名称Image Copy-Move Forgery Detection
副标题New Tools and Techni
编辑Badal Soni,Pradip K. Das
视频video
概述Presents a detailed study of key points and block-based copy-move forgery detection techniques.Aims at reducing the computational time without adversely affecting the efficiency of CMFD techniques.Int
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Image Copy-Move Forgery Detection; New Tools and Techni Badal Soni,Pradip K. Das Book 2022 The Editor(s) (if applicable) and The Author(s),
描述This book presents a detailed study of key points and block-based copy-move forgery detection techniques with a critical discussion about their pros and cons. It also highlights the directions for further development in image forgery detection. The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions. Five different image copy-move forgery detection techniques are implemented to overcome the limitations of existing copy-move forgery detection techniques. The key focus of work is to reduce the computational time without adversely affecting the efficiency of these techniques. In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.
出版日期Book 2022
关键词Image Processing; Image Security; Copy-Move Forgery Detection; SIFT; SURF; Deep Learning; Machine Learning
版次1
doihttps://doi.org/10.1007/978-981-16-9041-9
isbn_softcover978-981-16-9043-3
isbn_ebook978-981-16-9041-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-21 23:28:07 | 显示全部楼层
Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/461415.jpg
发表于 2025-3-22 03:06:51 | 显示全部楼层
978-981-16-9043-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Background Study and Analysis,In this chapter, a detailed literature review about recent digital copy-move forgery detection techniques is given. The primary contributions of the chapter are.
发表于 2025-3-22 18:27:39 | 显示全部楼层
Summing Up,The work presented in this book is based on copy-move forgery detection (CMFD) in digital images. We find that CMFD is a popular research area due to increase or development in the image handling software technology, and the requirement of this can be seen by the rapid publications in the last 5 years.
发表于 2025-3-23 01:14:16 | 显示全部楼层
Copy-Move Forgery Detection Using Local Binary Pattern Histogram Fourier Features, implemented. In this system, initially, the input forged image is partitioned into constant-sized overlapping blocks, and all overlapping blocks are lexicographically sorted. Thereafter, LBP-HF features are extracted from each block. The extracted features are compared to find the forged regions of the image.
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发表于 2025-3-23 06:06:35 | 显示全部楼层
Oriented FAST Rotated BRIEF and Trie-Based Efficient Copy-Move Forgery Detection Algorithm,of such precision is possible that is not detectable by the naked eye. The main purpose of forgery analysis is to check whether there is any manipulation in the content of an image. Various algorithms have been proposed to detect image forgeries.
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