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An Efficient Truncated MAC using Approximate Adders for Image and Video Processing Applications

P.L. Lahari, M. Bharathi, Yasha Jyothi M Shirur

20202020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)23 citationsDOI

Abstract

This paper deals with less delay and area efficient truncated (MAC) multiplier and accumulator unit for Medical image processing, Gaussian and gradient filter applications. Approximate computing plays a essential role in today's increasing world in order to implement error tolerant energy efficient filter Blocks. In addition to this Truncated based design produce less delay to realize the algorithms for image and video processing applications. This paper shows an efficient delay realization of 16×16 truncated MAC unit using proposed approximate adder. The proposed Truncated MAC is simulated and synthesized with Xilinx 14.7 ISE software. It achieves best area and less delay result when compared with previous approximate adder designs.

Topics & Concepts

AdderComputer scienceAccumulator (cryptography)Image processingRealization (probability)Carry-save adderFinite impulse responseComputer hardwareAlgorithmImage (mathematics)Parallel computingLatency (audio)Computer visionMathematicsTelecommunicationsStatisticsLow-power high-performance VLSI designAnalog and Mixed-Signal Circuit DesignQuantum-Dot Cellular Automata
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