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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080228
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 2, 2017.
Abstract: The area of radiological image compression has not yet met its potential solution. After reviewing the existing mechanism of compression, it was found that majority of the existing techniques suffers from significant pitfalls e.g. more usage of transformation schemes, more resource utilization, delay, less focus on FPGA performance enhancement, extremely less emphasis on Vedic-multipliers. Hence, this paper presents an analytical modelling of ROI (Region of Interest)-based radiological image compression that applies Vedic Multiplier Urdhva-Tiryagbhyam to enhance the performance of coding using Discrete Wavelet Transform (DWT). The study outcome was implemented in Matlab and multiple test bed of FPGA devices (Virtex 4 FX100 -12 FF1152 and Spartan 3 XC400-5TQ144) and assessed using both visual and numerical outcomes to find that proposed system excel better performance in comparison to recently existing techniques.
Suma and V. Sridhar, “ROI-based Compression on Radiological Image by Urdhva-Tiryagbhyam and DWT Over FPGA” International Journal of Advanced Computer Science and Applications(IJACSA), 8(2), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080228