Image Copy-Move Forgery Detection Image Copy-Move Forgery Detection

Image Copy-Move Forgery Detection

New Tools and Techniques

    • USD 119.99
    • USD 119.99

Descripción editorial

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.

GÉNERO
Técnicos y profesionales
PUBLICADO
2022
4 de febrero
IDIOMA
EN
Inglés
EXTENSIÓN
154
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
53.3
MB
Beyond Artificial Intelligence Beyond Artificial Intelligence
2025
Machine Learning, Image Processing, Network Security and Data Sciences Machine Learning, Image Processing, Network Security and Data Sciences
2024
Machine Learning, Image Processing, Network Security and Data Sciences Machine Learning, Image Processing, Network Security and Data Sciences
2023
Data Science Data Science
2021
Machine Learning, Image Processing, Network Security and Data Sciences Machine Learning, Image Processing, Network Security and Data Sciences
2020
Machine Learning, Image Processing, Network Security and Data Sciences Machine Learning, Image Processing, Network Security and Data Sciences
2020