caa a22 4500 606205829 CHVBK 20210128101009.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00034-015-9997-4 doi (NATIONALLICENCE)springer-10.1007/s00034-015-9997-4 Approximate Arithmetic for Low-Power Image Median Filtering [Elektronische Daten] [M. Monajati, S. Fakhraie, E. Kabir] In applications related to human senses, such as audio and image processing, computations with limited precision are acceptable. In these areas, a digital system can be implemented using approximate computing that works with sufficient precision. In this paper, we present a method to design 2-bit approximate magnitude comparators that are effectively low cost in terms of power, area and speed. We build larger comparators with adjustable error characteristics. Compared to precise one, our approximate comparators can save power and area up to 7-46% and 10-50%, respectively. The structures of our comparators and their error characteristics are presented in this paper. We use these comparators to design different approximate image median filters in order to remove salt and pepper noise. Simulation results show that the output quality of these filters is very similar to that of the precise ones so that the degradation is not noticeable. The approximate filters save up to 30% of power and area while working 18% faster than the precise ones. Springer Science+Business Media New York, 2015 Approximate computing nationallicence Magnitude comparator nationallicence Image processing nationallicence Median filter nationallicence High speed nationallicence Low power nationallicence Low cost nationallicence Monajati M. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran aut Fakhraie S. Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran aut Kabir E. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/10(2015-10-01), 3191-3219 0278-081X 34:10<3191 2015 34 34 https://doi.org/10.1007/s00034-015-9997-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-9997-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Monajati M. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran aut NATIONALLICENCE 700 1- Fakhraie S. Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran aut NATIONALLICENCE 700 1- Kabir E. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/10(2015-10-01), 3191-3219 0278-081X 34:10<3191 2015 34 34