Indian Journal of Science and Technology
Year: 2018, Volume: 11, Issue: 20, Pages: 1-4
K. Sheikdavood, S. Monish, S. Rajvignesh, P. Poornaprasath, A. Pugalenthi and D. Pandisiva
Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Thalavapalyam, Karur – 639113, Tamil Nadu, India; [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]
*Author for correspondence
Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Thalavapalyam, Karur – 639113, Tamil Nadu, India; [email protected]
Objectives: A new watermarking idea is projected that would impressively enhance present day watermarking practices. This idea endeavors the highlights of minor images of watermarks of the standard image. This will guide us to maintain secrete content and images in the social media. This will safeguard us from unwanted hackers. Method of Analysis: To make connection methodology and Similar irrelevant images through fuzzy rules are grouped or might be produced using the host image to simulate an extracted watermark. This technique, as the feature classification, forest, can do dazzle withdrawal and variable to any watermarking topic utilizing a quantization-based module. In addition, a greater extent, a watermark is acknowledged while an incompatible influence on the physical property of the cover image. Findings: The tests show the profitable re-enactment of watermarks and furthermore the application to surprising watermarking plans. One among them features classification, forest marginally balanced from a connection to especially opposing JPEG pressure, and furthermore, the authors demonstrate local benefits of the SVD adjustment method to oppose very surprising image process. Application/Improvements: To maintain personal information secured.
Keywords: Features Classification Forest, Gray Level Co-Occurrence Matrix, Single Value Decomposition
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