Digital Watermarking of Geospatial Data

2018 ◽  
pp. 285-304
Author(s):  
H. Tulapurkar ◽  
S. Z. Choudhary ◽  
R. Ansari ◽  
P. V. Arun ◽  
J. Mohanty ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Geospatial Data

Multimedia Copyright Protection Scheme Based on the Direct Feature-Based Method

2013 ◽  
pp. 412-439
Author(s):  
Rimba Whidiana Ciptasari ◽  
Kouichi Sakurai
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Relational Databases ◽  
Geospatial Data ◽  
Malicious Attacks ◽  
Trade Off ◽  
Protection Scheme ◽  
Text Document ◽  
Viable Solution ◽  
Feature Based

Researchers have devised the direct feature-based method to improve traditional digital watermarking whilst developing the copyright protection scheme. A discussion on various multimedia copyright protection schemes based on the direct feature-based method (e.g., image, audio, text document, geospatial data, and relational databases) follows. In conclusion, the authors show that a good copyright protection scheme should not only be robust enough to endure acceptable manipulations, but also secure enough to withstand malicious attacks. In addition, the direct feature-based method can be considered a viable solution to the trade-off between data payload, fidelity, and robustness.

Digital Watermarking – A Multidisciplinary Approach

2013 ◽  
Vol 5 (1) ◽  
pp. 18-23
Author(s):  
L. Venkateswarlu ◽  
◽  
Dr. N V Rao ◽  
Keyword(s):  
Digital Watermarking ◽  
Multidisciplinary Approach

Robust Multispectral Data Hiding in RGB Image Using Digital Watermarking

2016 ◽  
Vol 2016 (1) ◽  
pp. 213-218
Author(s):  
Kazushige Banzawa ◽  
Kazuma Shinoda ◽  
Madoka Hasegawa
Keyword(s):  
Digital Watermarking ◽  
Data Hiding ◽  
Multispectral Data ◽  
Rgb Image

Web Based GIS Application using Open Source Software for Sharing Geospatial Data

2015 ◽  
Vol 4 (1) ◽  
pp. 1224-1228 ◽  
Author(s):  
Debasish Chakraborty ◽  
◽  
Debanjan Sarkar ◽  
Shubham Agarwal ◽  
Dibyendu Dutta ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Geospatial Data ◽  
Web Based ◽  
Gis Application

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

Digital Watermarking

2017 ◽  
Vol 7 (6) ◽  
pp. 141-143
Author(s):  
Matthew N.O. Sadiku ◽  
◽  
Adebowale E. Shadare ◽  
Sarhan M. Musa ◽  
◽  
...  
Keyword(s):  
Digital Watermarking

Using the potential of peripheral green areas of cities for educational and recreational purposes on the example of Stary Sącz, Nowy Targ and Kraków

2020 ◽  
Vol 65 (1) ◽  
pp. 53-63
Author(s):  
Mateusz Kulig ◽  
Anna Przeniczny ◽  
Piotr Ogórek
Keyword(s):  
Land Cover ◽  
Environmental Protection ◽  
Public Spaces ◽  
Geospatial Data ◽  
Valuable Resource ◽  
Green Areas

AbstractGreen areas located on the peripheries of cities have the potential to become green public spaces not only of recreational but also educational character, promoting at the same time the knowledge about environmental protection. The cities included in the research belong to the małopolskie voivodeship (Lesser Poland voivodeship). With the use of geospatial data of land cover, as well as territorial forms of environmental protection, it was pointed that 48.4% of forest, wooded and shrub green areas located within city borders are covered by a form of environmental protection, thus being a valuable resource of significant nature potential. Making such spaces available in a conscious and attractive way is presented on the example of projects implemented in the cities of: Stary Sącz, Nowy Targ and Kraków. The presented projects were used to make recommendations for city authorities to create green public spaces.

Forest canopy disturbance geospatial data for Lake Superior basin, USA, 1985-2008

2014 ◽  
Author(s):  
Ian W. Housman ◽  
Mark D. Nelson ◽  
Charles H. Perry ◽  
Kirk M. Stueve ◽  
Chengquan Huang
Keyword(s):  
Forest Canopy ◽  
Lake Superior ◽  
Geospatial Data ◽  
Canopy Disturbance
Sign in / Sign up

Export Citation Format

Share Document