Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Image Watermarking Approach Using LSB and Laplacian Filter2citations

Places of action

Chart of shared publication
Hafeez, Z.
1 / 1 shared
Hameed, S.
1 / 1 shared
Latif, U.
1 / 1 shared
Amin, M. S.
1 / 2 shared
Waseem, M.
1 / 2 shared
Imran, N.
1 / 1 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Hafeez, Z.
  • Hameed, S.
  • Latif, U.
  • Amin, M. S.
  • Waseem, M.
  • Imran, N.
OrganizationsLocationPeople

document

Image Watermarking Approach Using LSB and Laplacian Filter

  • Hafeez, Z.
  • Hameed, S.
  • Faheem, Z.
  • Latif, U.
  • Amin, M. S.
  • Waseem, M.
  • Imran, N.
Abstract

<jats:title>Abstract</jats:title><jats:p>With the growth of information technologies, E-industry safety has recently become the mutual attention of education and business firms. Digital image watermarking is a technique that refers to the security of multimedia data. It is a process referred to the security and authentication of a digital image, video, and audio by embedding a watermark. Watermarking technique applies a number of variable editions to the host content, where the addition is related to embed information. In the past, researchers develop multiple simple watermarking techniques, today race is to find a region where the watermark is imperceptible and have a high payload. In this paper, an invisible image watermarking technique based on the least significant bit (LSB) and laplacian filter is proposed. The original image is divided into blocks and the laplacian filter is applied on each block. Laplacian is a derivative filter that uses the second derivate to find out the area of rapid changes in the image and the least significant bit is a technique to embed a watermark into the bit positions. Watermark is embedded on these regions which is favourable in achieving high desirable properties. This technique shows strong robustness against image processing and geometrical attacks. In evaluation with state of art methods, the proposed technique shows satisfactory progress.</jats:p>

Topics
  • impedance spectroscopy