Recent advances in digital image manipulation detection techniques: A brief review

2020 ◽  
Vol 312 ◽  
pp. 110311 ◽  
Author(s):  
Rahul Thakur ◽  
Rajesh Rohilla
Keyword(s):  
Digital Image ◽  
Image Manipulation ◽  
Detection Techniques ◽  
Recent Advances ◽  
Manipulation Detection

scholarly journals Digital Image Forgery Detection

2019 ◽  
Vol 8 (2S3) ◽  
pp. 658-661
Keyword(s):  
Digital Image ◽  
Digital Images ◽  
Image Manipulation ◽  
Forgery Detection ◽  
Image Forgery ◽  
Detection Techniques ◽  
Naked Eye ◽  
Image Forgery Detection ◽  
Crime Investigation ◽  
Digital Image Forgery

With the growing challenges in authenticity and integrity of images, image manipulation has crumbled assurance over digital image. The major motivation of the forgery in image is manipulating the image in such a way that it cannot be distinguished to the naked eye. Image manipulation has increased the demand to assess the trustworthiness of digital images when used in crime investigation, as witness of law and for surveillance purposes. In this paper, various types of image forgery and detection techniques have been explained. Initially different kinds of forgery attacks are categorized and summary of passive approach is discussed

PERBANDINGAN METODE MD4 DAN SHA 384 UNTUK MENDETEKSI ORISINALITAS CITRA DIGITAL

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Lemcia Hutajulu ◽  
Hery Sunandar ◽  
Imam Saputra
Keyword(s):  
Digital Image ◽  
Detrimental Effect ◽  
Digital Images ◽  
Computer Crime ◽  
The Other ◽  
Image Manipulation ◽  
The Internet ◽  
Secret Key

Cryptography is used to protect the contents of information from anyone except those who have the authority or secret key to open information that has been encoded. Along with the development of technology and computers, the increase in computer crime has also increased, especially in image manipulation. There are many ways that people use to manipulate images that have a detrimental effect on others. The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is genuine or fake. In this study, the authors used the MD4 and SHA-384 methods to detect the originality of digital images, by using this method an image of doubtful authenticity can be found out that the image is authentic or fake.Keywords: Originality, Image, MD4 and SHA-384

scholarly journals Coloring Pictures for Electron Microscopists or Elements of Digital Image Manipulation for Students

2008 ◽  
Vol 16 (4) ◽  
pp. 62-63
Author(s):  
V.M. Dusevich ◽  
J.H. Purk ◽  
J.D. Eick
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
Digital Image ◽  
Secondary Electron ◽  
Image Manipulation ◽  
Sem Micrographs ◽  
Backscattered Electrons ◽  
Digital Picture ◽  
Scanning Electron

Coloring pictures is an educational exercise, which is fun, and helps develop important skills. Coloring SEM micrographs is especially suitable for electron microscopists. Color micrographs are not just great looking on a lab wall; they inspire both microscopists and students to exercise digital picture manipulation. Many microscopists enjoyed looking at the beautiful color micrographs by D. Scharf, but were frustrated to learn they needed a very particular scanning electron microscope equipped with multiple secondary electron detectors in order to color their own pictures. Fortunately, there are other ways to color SEM micrographs. Most SEMs are equipped with at least two detectors, for secondary and backscattered electrons.

A Study on Different Edge Detection Techniques in Digital Image Processing

2017 ◽  
pp. 100-122 ◽  
Author(s):  
Shouvik Chakraborty ◽  
Mousomi Roy ◽  
Sirshendu Hore
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Image ◽  
Basic Feature ◽  
Detection Methods ◽  
Natural Image ◽  
Detection Techniques ◽  
Image Edges

Image segmentation is one of the fundamental problems in image processing. In digital image processing, there are many image segmentation techniques. One of the most important techniques is Edge detection techniques for natural image segmentation. Edge is a one of the basic feature of an image. Edge detection can be used as a fundamental tool for image segmentation. Edge detection methods transform original images into edge images benefits from the changes of grey tones in the image. The image edges include a good number of rich information that is very significant for obtaining the image characteristic by object recognition and analyzing the image. In a gray scale image, the edge is a local feature that, within a neighborhood, separates two regions, in each of which the gray level is more or less uniform with different values on the two sides of the edge. In this paper, the main objective is to study the theory of edge detection for image segmentation using various computing approaches.

Boundary Layer Detection Techniques Applied to Edge Detection

2019 ◽  
Vol 19 (02) ◽  
pp. 1950010 ◽  
Author(s):  
Fernando O. Guillén-Reyes ◽  
Francisco J. Domínguez-Mota
Keyword(s):  
Boundary Layer ◽  
High Resolution ◽  
Edge Detection ◽  
Digital Image ◽  
Execution Time ◽  
Digital Images ◽  
Intensity Function ◽  
Detection Techniques ◽  
Novel Algorithm

In this paper, we describe a novel algorithm for edge detection on a digital image, which is based locally on the directional averaged gradient properties of the intensity function, and produces very satisfactory results in high-resolution digital images in low execution time. Several examples show results which are comparable to those obtained by Canny and Sobel methods.

scholarly journals Digital Image Manipulation

Radiographics ◽  
2003 ◽  
Vol 23 (5) ◽  
pp. 1338-1340
Author(s):  
Omar Lababede
Keyword(s):  
Digital Image ◽  
Image Manipulation
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