Image splicing detection using low-dimensional feature vector of texture features and Haralick features based on Gray Level Co-occurrence Matrix-Reference-Cited by-同舟云学术

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Image splicing detection using low-dimensional feature vector of texture features and Haralick features based on Gray Level Co-occurrence Matrix

Published:2024-07 Issue: Volume:125 Page:117134
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Das Debjit^ORCID,Naskar Ruchira

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Reference44 articles.

1. Enhanced features in image manipulation detection;He;Signal Process., Image Commun.,2023

2. Image splicing forgery detection using noise level estimation;Meena;Multimedia Tools Appl.,2023

3. Spliced images detection by using Viola-Jones algorithms method;Prasanna;Mater. Today: Proc.,2022

4. A lightweight image splicing tampering localization method based on MobileNetV2 and SRM;Shi;IET Image Process.,2023

5. Coarse-to-fine-grained method for image splicing region detection;Wang;Pattern Recognit.,2022

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