Prasanta Kumar Nandi

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Data embedding in digital images involves a trade off relationship among imperceptibility, robustness, data security and embedding rate etc. Genetic Algorithms (GA) can be used to achieve optimal solution in this multidimensional nonlinear problem of conflicting nature. The use of the tool has been explored very little in this topic of research. The current(More)
Most of the digital image watermarking techniques use pixel values, frequency or other transform coefficients to embed information without considering the perceptually significant portion of the cover. The present work selects the perceptually significant region of the cover and embeds data in the transform coefficients in order to design low-cost robust(More)
Due to the advancement in digital wireless communication 3rd/future generation mobile communication system expects to offer multimedia services and applications with negotiated end-to-end quality assurance. Hence devising a simple and effective billing system related to the quality of services (QoS) supplied becomes essential to the service providers. The(More)
—The paper presents low cost spatial image watermarking scheme where inherent anti jamming and interference rejection property of spread spectrum modulation is utilized to provide robustness against image distortions and malicious attempts to remove or tamper with the watermark. The use of error correction code allows a trade-off between degree of(More)
—The present paper describes a compression resilient data hiding scheme in spatial domain by inserting data in different blocks in the cover image. The blocks are selected based on the value of information content that is measured using an exponential form of entropy. Experimental results show the resiliency of the scheme against several unintentional and(More)