Improving Accuracy in Mitchell‟s Logarithmic Multiplication using Iterative Multiplier for Image Processing Application
Deeksha R Shetty1, Savitha Patil2
1Deeksha R Shetty, Electronics and Communication, PG student AMCEC, VTU, Bangalore, India.
2Savitha Patil, Electronics and Communication, Asst.Prof AMCECollege VTU, Banglore, India.
Manuscript received on June 03, 2013. | Revised Manuscript received on June 29, 2013. | Manuscript published on July 05, 2013. | PP: 187-190 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1699073313/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The logarithmic of a binary number may be determined approximately from the number itself by simple shifting and counting. Since the logarithms used are approximate there can be errors in the result. This paper presents a simple and efficient logarithmic multiplier with the possibility to achieve an arbitrary accuracy through an iterative procedure. Digital image processing is used in variety of application .Many algorithm used in image processing include convolution. In this coding is done using VHDL for the FPGA. Synthesis and simulation is done using Xilinx and MATLAB is used to convert input image in to a matrix form which is convolved with the kernel value using proposed multiplier and the result is again converted back into a image form using m.file.
Keywords: Iogarithmic number system , computer arithmetic, digital signal processing, multiplier, convolution.