Detection of splicing forgery using differential evolution and wavelet decomposition

被引：0
|
作者：
Kashyap, Abhishek [1 ]
Suresh, B. [1 ]
Gupta, Hariom [1 ]
机构：
[1] Jaypee Inst Informat Technol, Dept Elect & Commun Engn, Noida 201304, Uttar Pradesh, India
来源：
COMPUTER JOURNAL | 2020年 / 63卷 / 11期
关键词：
Differential evolution; Wavelet decomposition; Block matching; JPEG; PNG; BMP; TIFF; IMAGE; OPTIMIZATION;
D O I：
10.1093/comjnl/bxz107
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we have proposed a computationally efficient algorithm to detect splicing (copy-create) forgery, our proposed method is developed by using differential evolution and wavelet decomposition, the differential evolution algorithm automatically generates customized parameter values of tampered images, and wavelet decomposition is used to process large-size images under block-based framework. Our proposed method is resilient to distortions, such as the addition of Gaussian noise, scaling and compression of the forged images.
引用
收藏
页码：1727 / 1737
页数：11
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