Image Forgery Detection Based on Semantics

Ke, Yinglin; Min, Weidong; Fan, Qiang; Shang, Junjun

doi:10.14257/ijhit.2014.7.1.09

Cited by 6 publications

(1 citation statement)

References 19 publications

(16 reference statements)

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“…With the advent of the Internet and low-price digital cameras, as well as a powerful image editing software (such as Adobe Photoshop and Illustrator), ordinary users have more access to the tools of digital doctoring than ever before [1]. It has become a frequent need of our life as it finds its uses in areas like surveillance system, digital monitoring, PC, camera, social networking, cell phones and the like.…”

Section: Introductionmentioning

confidence: 99%

Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection

Hatem¹,

Zou²,

Majeed³

et al. 2015

IJHIT

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Section: Introductionmentioning

confidence: 99%

Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection

Hatem¹,

Zou²,

Majeed³

et al. 2015

IJHIT

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Image Forgery Detection Based on Semantic Image Understanding

Wang

et al. 2017

Communications in Computer and Information Science

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Image forgery and its detection: A survey

Anoop

2015

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

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Image have been a powerful media of communication. People have doing image manipulation using cost free editing softwares. Excellent example is photoshop,gimp etc. There are two sides of coins. Likewise every equipment have good and bad sides. Photoshop is used for good and bad image manipulation. Tampering the image comes under bad manipulation. We can see bad image manipulation in medical field,news media, photography, firm. Aim is to misrepresent the situation. Medical images are used to misrepresent the patient's diagnosis by funny guys. Patients data are sensitive information. Image manipulation is due to the free availability of tools. And the aim of this misrepresentation is for claiming medical insurance. Likewise media writers also can add some false stories and trying to falsifying the images. Media workers are falsifying images for their media pUblicity. Falsifying image means tampering the images. Image tampering is a digital art. One who tampers image is just for fun. It comes under illegal activities. In medical area, physicians or researchers make diagnosis or research based on image only. Image tampering can not identify in a naked eye. In this paper, I prepared a literature survey about various image forgery detection techniques and finally i concluded the comparative study with some parameters. An expert network administrator can also do this type of manipulation in his sketch before a new lab configuration. Patients can add manipulations and they can apply for medical loan. Likewise others can add extra contents and falsifying the data.

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Image Forgery Detection Based on Semantics

Abstract: Abstract

Cited by 6 publications

References 19 publications

Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection

Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection

Image Forgery Detection Based on Semantic Image Understanding

Image forgery and its detection: A survey

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