Abstract
In order to overcome the threat of data transmission over Internet, watermarking techniques have been developed. Watermarking can be implemented in spatial or in frequency domain. In this paper, watermarking is implemented in frequency domain using DCT transform and compressive sensing technique. The paper deals with a proposed watermarking scheme that can be applied to binary, monochrome, and color image. Here, the features of compressive sampling are considered in order to overcome the drawback of insecure data transmission. A random Gaussian matrix is used as the secret key for encrypting the watermark in the process of compressive sensing. This encrypted watermark is then embedded into the mid-frequency DCT coefficients of the host image. Experimental results depict that the performance of our algorithm is better than basic DCT watermarking in terms of robustness. It is observed that the security level and embedding capacity are also improved by the usage of compressive sampling.
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Susmitha, D., Renuka Devi, S.M. (2018). A DCT-CS Watermarking Method for Monochrome and Color Image. In: Anguera, J., Satapathy, S., Bhateja, V., Sunitha, K. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-10-7329-8_1
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DOI: https://doi.org/10.1007/978-981-10-7329-8_1
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