Analysis of Digital Media Image Tampering and Forgery Control
DOI:
https://doi.org/10.62051/f9e87g27Keywords:
Digital media; Falsification; Social harm; Prevention and treatment.Abstract
In recent years, the continuous innovation of computer vision processing technology has greatly improved the quality of people's production and life, while the accompanying tampering risk has also gradually increased. There are frequent incidents of people with ulterior motives using computer image processing technology to tamper with digital media and falsifying and cheating others. This paper mainly analyzes the technology and method of digital media image tampering and forgery, the social harm caused by the resulting tampering risk, and puts forward the corresponding management countermeasures.
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References
[1] WU Shuang. The problem of "Deep forgery" under AI craze cannot be ignored [N]. People's Posts and Telecommunications, 2023 - 06 - 22 (6).
[2] Zhang Yun, Sun Rongxin, Zhang Xu. The status quo, problems and approaches of Network short video content governance in the Digital Intelligence Era [J]. Publication and Distribution Research, 2023 (06): 13 - 19.
[3] Long Kun, Ma Yue, Zhu Qichao. The challenge of deep forgery to national security and its countermeasures [J]. Information Security and Communication Security, 2019 (10): 21 - 34.
[4] Lei Jinjin. Research on image hashing method for content forensics [D]. Xian: Xian University of Technology, 2022.
[5] Chen Qiansheng. Digital image forensics technology and its development [J], Silicon Valley, 2011 (10): 26+17.
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