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논문 기본 정보

자료유형
학술저널
저자정보
Yunchul Chung (Hongik University) Youngmin Kim (Hongik University)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.10 No.4
발행연도
2021.8
수록면
355 - 361 (7page)
DOI
10.5573/IEIESPC.2021.10.4.355

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초록· 키워드

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In this study, a Sobel filter with approximate computing was used to detect the edge of an image and compare the quality of the output images and error metrics of various approximate adders. Approximate computing is performed by applying the logic of various approximate adders to the lower-bit part of the addition operation of the Sobel filter. The image quality of the edge detection result and error metrics are analyzed by varying approximating bits. The approximate adders used include an Approximate Mirror Adder (AMA), Approximate XOR/XNOR-based Adder (AXA), and Inexact Adder (InXA). A simulation was performed in Quartus using Verilog HDL. The precise adder and the approximate adder logic were applied to the low part, synthesized, and compared. The two filters were compared through various error metrics for approximate computing and logic utilization indicating how much of the logic module has been used. In the simulation, the Sobel filter with the AMA4 showed the best error metrics and performance logic among the 10 types of approximate adders. The results show that approximate adder logic with the appropriate approximate bits can be applied to an edge-detecting filter and has an acceptable error and image quality.

목차

Abstract
1. Introduction
2. Related Work
3. Sobel Edge Detection with Approximate Adder
4. Results and Discussion
5. Conclusion
References

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