Image Copy-Move Forgery Detection: New Tools and Techniques

By William M. McEneaney

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.

• Format: Hardcover
• Language: English
• ISBN: 9811690405
• ISBN13: 9789811690402
• Release Date: February 2022
• Publisher: Springer
• Length: 133 Pages
• Weight: 0.88 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"