期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：62
期号：3
出版社：Journal of Theoretical and Applied
摘要：The images play an important role in many of the applications. There are several techniques to compress these images in order to reduce the size of the image without any loss of data. This paper proposes an effective technique to compress the medical images using an improved ridgelet transform. This improved technique replaces the discrete wavelet transform in the ridgelet transform with the slantlet transform. This slantlet transform is an orthogonal DWT and has two zero moments with improved time localization. In this proposed technique the medical image is compressed using the improved ridgelet transform and then we apply thresholding and quantization methods to the ridgelet coefficients of the compressed medical image. Also the proposed technique requires only minimum number of coefficients for reconstructing the medical image without any loss of data. Comparison is made between the ridgelet transform and the proposed improved ridgelet transform in terms of SDME and this technique assures to provide higher signal to noise ratio.
