Image Copy-Move Forgery Detection

£119.50

Image Copy-Move Forgery Detection

New Tools and Techniques

Electronics engineering Artificial intelligence Computer vision Digital signal processing (DSP)

Authors: Badal Soni, Pradip K. Das

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Collection: Studies in Computational Intelligence

Language: English

Published by: Springer

Published on: 4th February 2022

Format: LCP-protected ePub

Size: 50 Mb

ISBN: 9789811690419


Overview

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.

Datasets and Analysis

The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions.

Detection Techniques

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.

Robustness

In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.

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