Abstract
Advances in digital medical imaging technologies have resulted in substantial increase in the size of datasets, as a result of improvement in spatial and temporal resolution. In order to reduce the storage cost, diagnostic analysis cost and transmission time without significant reduction of the image quality, a state of the art image compression technique is required. Content based coding is therefore capable of delivering high reconstruction quality over user-specified spatial regions in a limited time, compared to compression of the entire image. Further, CBC coding provides an excellent trade-off between image quality and compression ratio. In this paper a content based compression technique is proposed. The proposed procedure when applied on Computed Tomography (CT) liver image yields significantly better compression rates without loss in the originality of ROI.
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Sran, P.K., Gupta, S., Singh, S. (2013). Content Based Medical Image Coding with Fuzzy Level Set Segmentation Algorithm. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_15
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DOI: https://doi.org/10.1007/978-81-322-0997-3_15
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