Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/989
Title: SVD Based Performance Improvement in Hiding a Message Behind an Image
Authors: Raviya, Kaushik
Vyas, Ved
Kothari, Ashish
Keywords: Image watermarking
MSE
PSNR
Singular Value Decomposition
Issue Date: Apr-2019
Publisher: International Journal of Advanced Trends in Computer Science and Engineering
Citation: Raviya, K. ,Vyas, V. ,Kothari, A.(2019). SVD Based Performance Improvement in Hiding a Message Behind an Image. International Journal of Advanced Trends in Computer Science and Engineering, 8(2), 182-186, ISSN : 2278-3091, Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse12822019.pdf https://doi.org/10.30534/ijatcse/2019/12822019
Abstract: The paper describes an effective method to embed grayscale images or watermarks in the original cover images. To do so, we used a famous linear algebra technique called Singular Value Decomposition. To carry out the test work results and analysis, we observed the two most common metrics namely Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) during the research work. Correlation was found between the original image and the recovered image during extraction of watermark. This method was found fully robust against various attacks which were carried out throughout the research.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/989
ISSN: 2278-3091
Appears in Collections:01. Journal Articles

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