Abstract
Due to the heavy increase of network traffic caused by multimedia data, compression and transmission of medical image for telemedicine applications have made the stringent demand on the quality of the reconstructed signal.In this paper, we are comparing different types of image compression techniques using CVIP tools by considering the values of Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR) and Root Mean Square (RMS) error. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
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Devaraj, S. J., Ezra, K., & Kasaraneni, K. K. (2012). Survey on image compression techniques: Using CVIP tools. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (Vol. 86, pp. 300–309). https://doi.org/10.1007/978-3-642-27317-9_31
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