Abstract
Popularity and dependency of smartphones in a day to day lives originated the demand to invent the methods to secure the private and business data stored in them. Image steganography is one of the methods adopted to enhance their security by hiding the sensitive information behind the image. It is applied in a manner that there are no visible visual or statistical changes in the cover image. Undetectability and robustness are the major requirements of any image steganography algorithm. Another parameter that plays an important role is embedding capacity-the amount of data that can be hidden in the image. The most common image format in smartphones is jpeg. Jpeg images undergo lossy compression and as a result, their size is small as compared to other image formats undergoing lossless compression. It is a challenge to hide high message payload in jpeg images. This research paper focuses on finding out various methods to increase the embedding capacity of jpeg images. It firstly probes and compares compression algorithms and tries to find out how they can help in increasing the amount of data that can be hidden inside the image. Secondly, it discusses the various statistical parameters which can be exploited in order to select suitable cover image before applying image steganography. Thirdly, it proposes a new algorithm which calculates payload capacity of an image which helps in selection of a suitable cover image. It uses MSE, PSNR and SSIM image quality metrics to validate the algorithm.
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Watni, D., Chawla, S. (2020). Enhancing Embedding Capacity of JPEG Images in Smartphones by Selection of Suitable Cover Image. In: Kumar, A., Paprzycki, M., Gunjan, V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, vol 601. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_22
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DOI: https://doi.org/10.1007/978-981-15-1420-3_22
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