Abstract
This paper investigates securing hidden information through quantization. In an idyllic background where the entire model parameters are absolutely known, the chances of MSE (mean square error), PSNR (peak signal-to-noise ratio), and NAE (normalized absolute error) are presented and their performances hypothetically appeared in mosaic image, which is produced form of a small snippet of the given undiscovered image and selected marquee image.
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Bhandari, V., Tamrakar, S., Shukla, P., Bhandari, A. (2019). A New Model of M-secure Image Via Quantization. In: Shukla, R.K., Agrawal, J., Sharma, S., Singh Tomer, G. (eds) Data, Engineering and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-13-6351-1_26
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DOI: https://doi.org/10.1007/978-981-13-6351-1_26
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