A robust forgery detection algorithm for object removal by exemplar-based image inpainting

Dengyong Zhang; Zaoshan Liang; Gaobo Yang; Qingguo Li; Leida Li; Xingming Sun

doi:10.1007/s11042-017-4829-0

ScienceGate Book Chapters

JOURNAL ARTICLE

A robust forgery detection algorithm for object removal by exemplar-based image inpainting

Dengyong Zhang Zaoshan Liang Gaobo Yang Qingguo Li Leida Li Xingming Sun

Year: 2017 Journal: Multimedia Tools and Applications Vol: 77 (10)Pages: 11823-11842 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-017-4829-0

Get Full-Text PDF Get Analytical Report

Keywords:

Inpainting Computer science Artificial intelligence Computer vision Block (permutation group theory) Pattern recognition (psychology) Image (mathematics) Discrete cosine transform Feature (linguistics) Pixel Object (grammar) Noise (video) Similarity (geometry) Mathematics

Metrics

Cited By

3.43

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Steganography and Watermarking Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A robust forgery detection algorithm for object removal by exemplar-based image inpainting

Metrics

Citation History

Topics

Related Documents

An efficient forgery detection algorithm for object removal by exemplar-based image inpainting

Robust object removal with an exemplar-based image inpainting approach

Robust detection for object removal with post-processing by exemplar-based image inpainting

Improved Robust Algorithm for Exemplar based Image Inpainting

Robust exemplar based image and video inpainting for object removal and region filling