April 26, 2024, 4:45 a.m. | Ao Xiang, Jingyu Zhang, Qin Yang, Liyang Wang, Yu Cheng

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.16296v1 Announce Type: new
Abstract: With the development and widespread application of digital image processing technology, image splicing has become a common method of image manipulation, raising numerous security and legal issues. This paper introduces a new splicing image detection algorithm based on the statistical characteristics of natural images, aimed at improving the accuracy and efficiency of splicing image detection. By analyzing the limitations of traditional methods, we have developed a detection framework that integrates advanced statistical analysis techniques and …

abstract algorithm algorithms application arxiv become cs.ai cs.cv detection development digital image image detection image processing legal manipulation natural paper processing research security statistical technology type

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Machine Learning Research Scientist

@ d-Matrix | San Diego, Ca