Detection and Localization of Copy-Move Forgery in Digital Images: Review and Challenges

被引：0
|
作者：
Suresh, Gulivindala [1 ]
Rao, Chanamallu Srinivasa [2 ]
机构：
[1] Aditya Engn Coll, Dept ECE, Surampalem 533437, AP, India
[2] JNTUK Univ, Dept ECE, Kakinada 533003, AP, India
来源：
INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS | 2023年 / 23卷 / 04期
关键词：
Digital image forensics; copy-move forgery; localization; block-based; key-point; classification; LOCAL BINARY PATTERN; PASSIVE DETECTION; EFFICIENT; WAVELET; AUTHENTICATION; KEYPOINT; FEATURES; ZERNIKE; REGION; SEGMENTATION;
D O I：
10.1142/S0219467823500250
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Copy move forgery in digital images became a common problem due to the wide accessibility of image processing algorithms and open-source editing software. The human visual system cannot identify the traces of forgery in the tampered image. The proliferation of such digital images through the internet and social media is possible with a finger touch. These tampered images have been used in news reports, judicial forensics, medical records, and financial statements. In this paper, a detailed review has been carried on various copy-move forgery detection (CMFD) and localization techniques. Further, challenges in the research are identified along with possible solutions.
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页数：25
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