Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2017.10a
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- Pages.681-683
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- 2017
A Study on Efficient Interpolation Method in Salt & Pepper Noise Environments
Salt & Pepper 잡음 환경에서 효율적인 보간법에 관한 연구
- Ko, You-Hak (Dept. of Control and Instrumentation Eng. Pukyong National University) ;
- Kwon, Se-Ik (Dept. of Control and Instrumentation Eng. Pukyong National University) ;
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Kim, Nam-Ho
(Dept. of Control and Instrumentation Eng. Pukyong National University)
- Published : 2017.10.25
Abstract
In the digital information age, image processing is essential for various digital devices such as smart phones, cameras, and TVs. However, degradation occurs in analyzing, recognizing, and processing image data, and salt & pepper noise occurs. Therefore, in this paper, we applied linear interpolation method, newton interpolation method, lagrange interpolation method, and spline interpolation method to the image damaged by salt & pepper noise in order to find more effective interpolation method in salt & pepper noise environment, The methods were compared using the PSNR (peak signal to noise ratio).
디지털 정보화 시대에서 영상처리는 스마트폰, 카메라, TV 등의 여러 디지털 기기에서 필수적으로 이용되고 있다. 그러나 영상 데이터를 분석, 인식, 처리하는 과정에서 열화가 발생하며, salt & pepper 잡음이 발생한다. 따라서, 본 논문에서는 salt & pepper 잡음 환경에서 보다 효과적인 보간법을 알아보기 위해, salt & pepper 잡음에 훼손된 영상에 선형 보간법, newton 보간법, lagrange 보간법, spline 보간법을 적용하여 처리하였으며, PSNR(peak signal to noise ratio)을 이용하여 각 방법을 서로 비교하였다.