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Image Copy-Move Forgery Detection: New Tools and Techniques

Image Copy-Move Forgery Detection: New Tools and Techniques

Hardcover

Series: Studies in Computational Intelligence, Book 1017

Technology & EngineeringProgramming

ISBN10: 9811690405
ISBN13: 9789811690402
Publisher: Springer Nature
Published: Feb 5 2022
Pages: 133
Weight: 0.88
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
Introduction.- Background Study and Analysis.- Copy-Move Forgery Detection using Local Binary Pattern Histogram Fourier Features.- Blur Invariant Block-based CMFD System using FWHT Features.- Geometric Transformation Invariant Improved Block based Copy-Move Forgery Detection.- Key-points based Enhanced Copy-Move Forgery Detection System using DBSCAN Clustering Algorithm.- Image Copy-Move Forgery Detection using Deep Convolutional Neural Networks.

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