Fuzzy Based Image Forgery Classification with SWT-DCT-LBP Based Hybrid Features

被引：1

作者：

Kaushik, Manish Shankar ^{[1
]}

Kandali, Aditya Bihar ^{[1
]}

机构：

[1] Jorhat Engn Coll, Dept Elect Engn, Jorhat, Assam, India

来源：

WIRELESS PERSONAL COMMUNICATIONS | 2023年 / 130卷 / 03期

关键词：

DCT; DWT; Fuzzy logic; Histogram; LBP; SVD; SWT;

D O I：

10.1007/s11277-023-10343-1

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The reliability of photographs and digital images in general plays an essential role today in many areas of society. Technological advancements have greatly simplified the task of falsifying digital images, allowing in turn to decentralize production and accelerate its mass distribution. This makes the effects of these adulterated images instantaneous and global in scope, with a greater impact and damage for those who are harmed by its diffusion. This paper discusses the role that artificial intelligence can play in digital forensic analysis, proposing a review of the literature, in order to illustrate the areas of computer forensics in which artificial intelligence techniques have been used to date. This, to identify a new work niche in this area, hoping that the ideas in this document can represent promising directions for the development of more efficient and effective computer forensic tools.

引用

页码：1527 / 1547

页数：21

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