Image Manipulation with Shaders

2011 ◽  
pp. 239-290
Keyword(s):  
Image Manipulation

Interacting in 3D Space: Comparison of a 3D Two-handed Interface to a Keyboard-and-mouse Interface for Medical 3D Image Manipulation

2009 ◽  
Author(s):  
F. Jacob Seagull ◽  
Peter Miller ◽  
Ivan George ◽  
Paul Mlyniec ◽  
Adrian Park
Keyword(s):  
Image Manipulation ◽  
3D Image ◽  
3D Space

PRNU-based Image Manipulation Localization with Discriminative Random Fields

2017 ◽  
Vol 2017 (7) ◽  
pp. 113-120 ◽  
Author(s):  
Sujoy Chakraborty ◽  
Matthias Kirchner
Keyword(s):  
Random Fields ◽  
Image Manipulation

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 COTS: A Multipurpose RGB-D Dataset for Saliency and Image Manipulation Applications

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 21481-21497
Author(s):  
Dylan Seychell ◽  
Carl James Debono ◽  
Mark Bugeja ◽  
Jeremy Borg ◽  
Matthew Sacco
Keyword(s):  
Image Manipulation

scholarly journals Choosing Between Confocal Microscopes : A Fly-Eye's View

2000 ◽  
Vol 8 (3) ◽  
pp. 8-9
Author(s):  
Mark. H.C. Lam ◽  
David A. Jans
Keyword(s):  
Confocal Microscope ◽  
Ease Of Use ◽  
Image Manipulation ◽  
List Type ◽  
Type Number ◽  
Transmission Detector

We have recently been shopping for a confocal microscope and have found a simple way to test the capabilities of the various units that have been demonstrated to us. Some of the important aspects that we were looking for in our “ideal” multi-user system were:1)Ease of use.2)The ability to obtain good X-Y, X-Z and hence X-Y-Z resolution, and the accurate display of these images.3)The depth within the sample at which the system can resolve structures (this of course depends mostly on the lenses used), but is still an important criteria as it reflects on the system as a whole.4)“extras” such as a transmission detector and reconstruction/ analysis/image manipulation software.

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.

The ATS Journals' Policy on Image Manipulation

2008 ◽  
Vol 5 (9) ◽  
pp. 869-869 ◽  
Author(s):  
E. Abraham ◽  
K. B. Adler ◽  
S. D. Shapiro ◽  
A. R. Leff
Keyword(s):  
Image Manipulation

Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation

2021 ◽  
Author(s):  
Yuto Watanabe ◽  
Ren Togo ◽  
Keisuke Maeda ◽  
Takahiro Ogawa ◽  
Miki Haseyama
Keyword(s):  
Image Segmentation ◽  
Image Manipulation

scholarly journals The ability of orthodontists and laypeople in the perception of gradual reduction of dentogingival exposure while smiling

2012 ◽  
Vol 17 (5) ◽  
pp. 81-86 ◽  
Author(s):  
Elaine Cristina da Silva Barros ◽  
Marielly Damiana Oliveira de Carvalho ◽  
Karina Corrêa Flexa Ribeiro Mello ◽  
Patrícia Botelho ◽  
David Normando
Keyword(s):  
Wilcoxon Test ◽  
Image Manipulation ◽  
Gradual Reduction ◽  
Software Program ◽  
Mild Reduction

OBJECTIVE: To assess differences in how orthodontists and laypersons perceive a reduction in dentogingival display on smiling. METHODS: Sixty examiners from both genders (30 laypersons and 30 orthodontists) evaluated photographs of spontaneous smiles of two subjects , one male and one female. Based on the original images, smile height was modified by means of an image manipulation software program. The examiners assigned scores ranging from 0 to 10, according to the level of pleasantness. Method reproducibility was examined using the Wilcoxon test, while the Friedman and Wilcoxon tests (p < 0.05) were employed to observe intra- and interexaminer differences, respectively. RESULTS: No differences were found between the groups of examiners - in terms of esthetics - in response to changes in smile height of both genders . However,men smile had lower acceptability than the women smile. A mild reduction in dentogingival display on smiling (2 mm) was not perceived by either laypersons or orthodontists (p > 0.05). CONCLUSIONS: women smiles achieved higher scores than men smiles however, samples involving a larger number of subjects in each group are required to ensure whether or not this finding is linked to the subjects gender.

Sign in / Sign up

Export Citation Format

Share Document