Abstract
Watermarking is a means of implanting data in the form of text, symbols or any credential into the multimedia data such as image, audio or video. The conventional produces below-par accomplishment when the communication is implanted into the image LSB bits. With a view to rectify these defects and also to safeguard the confidential data and images from the bogus clients, we are introducing an innovative method. In the proposed method, we employ. Adaptive quin tree decomposition for fragmenting the original image into five blocks, and the signed communication from the ECC technique are implanted into the fifth block pixel values. Subsequently, the data revival and authentication procedure are done to check the authenticity or otherwise of the data and image revived. A group of data including images is employed to assess the efficiency of our innovative approach and amazing outcomes achieved from the novel approach that predict the robustness of the suggested decomposition method in image verification procedure. The performance outcomes also validate the proficiency of the proposed program for the confirmation of the image by means of watermarking. It has gone a long way in attaining progress in image certification, safety and security measures. Further, the efficiency of the novel system is put to test and contrasted with the outcomes of the current watermarking technique.
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Arathi Chitla, Associate Professor of Computer Science and Engineering in Telangana University, Nizamabad, Telangana, India, she has 14 years of teaching experience. She completed her B.E from Osmania University and M. Tech from JNTU Kakinada with distinction. She is pursuing her Ph. D from JNTU Hyderabad on Digital Watermarking Techniques. She published 10 research articles in international journals and attended national and international seminars and workshops. She organized national seminar with APSCHE.
M. Chandra Mohan, Professor of computer Science and Engineering in JNTUH, Hyderabad, Telangana, India. He is having 7 years of industrial experience and 13 years of teaching experience. He completed his B.E, M.Tech from Osmania University with distinction, Ph.D from JNTU, Hyderabad. He published 15 research articles in International Journals and presented several papers in national and international seminars and workshops. His areas of interests are software engineering and image processing.
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Chitla, A., Mohan, M.C. An adaptive quin tree decomposition (AQTD) technique in image authentication through Lossless Watermarking (LWM). Pattern Recognit. Image Anal. 26, 69–81 (2016). https://doi.org/10.1134/S1054661815040045
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DOI: https://doi.org/10.1134/S1054661815040045