Editions Notre Savoir
Analyse comparative des variantes LBP pour la d?ection de la falsification d'images
$48.72
LAP Lambert Academic Publishing
A Comparative Analysis of LBP Variants for Image Tamper Detection
Product Code:
9786207487493
ISBN13:
9786207487493
Condition:
New
$48.72
A Comparative Analysis of LBP Variants for Image Tamper Detection
$48.72
This thesis explores the use of Local Binary Patterns (LBP) and Convolutional Neural Networks (CNN) for detecting image tampering, an increasingly prevalent issue in today's digital landscape. Through a comparative analysis of four LBP variants using the CASIA-2.0 dataset, it combines LBP's texture descriptors with CNN to enhance accuracy and robustness. The methodology involves generating local texture descriptors with LBP and feeding them into a CNN architecture trained to classify images as tampered or authentic. Despite challenges like computational complexity, the research aims to contribute to a reliable tamper detection system applicable in various real-world scenarios. Notably, Uniform LBP demonstrates superior performance in both training/testing time, achieving accuracy and F1-score exceeding 97% in image tamper detection, validating the effectiveness of the approach.
| Author: Suresh Rao |
| Publisher: LAP Lambert Academic Publishing |
| Publication Date: Apr 24, 2024 |
| Number of Pages: 80 pages |
| Binding: Paperback or Softback |
| ISBN-10: 6207487494 |
| ISBN-13: 9786207487493 |
Related Products
Edicoes Nosso Conhecimento
Uma an?ise comparativa das variantes LBP para a dete?o de adultera?o de imagens
$48.72
Edizioni Sapienza
Analisi comparativa delle varianti LBP per il rilevamento di manomissioni di immagini
$48.72
Sale 1%
VDM Verlag Dr. Mueller E.K.
Improvement of Defect Detection with Software Inspection Variants
$63.72
$63.18
