Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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AWGN Removal using Pixel Noise Characteristics of Image

영상의 잡음 특성 추정을 이용한 AWGN 제거

  • Cheon, Bong-Won (Dept. of Control and Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
  • Received : 2019.09.17
  • Accepted : 2019.11.14
  • Published : 2019.12.31
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Abstract

In modern society, a variety of video media have been widely spread in line with the fourth industrial revolution and the development of IoT technology; in accordance with this trend, numerous researches have been performed to remove noise generated in image and data communications. However, the conventional Additive White Gaussian Noise (AWGN) cancellation techniques are likely to induce a blurring phenomenon in the noise removal process, thus impairing the information of the image. In this study, we propose an algorithm for minimizing the loss of image information in the removal process of AWGN. The proposed algorithm can apply weights according to the characteristics of noise by predicting AWGN in the image, where the output is calculated based on adding and subtracting the outputs of the high pass filter and the low pass filter. Compared to the existing method, the noise reduction using the proposed algorithm exhibited less blurring issues and better noise reduction properties in the AWGN removal process.

현대 사회는 4차 산업 혁명과 IoT 기술의 발전에 따라 다양한 영상 매체들이 보급되고 있으며, 이러한 흐름에 따라 영상 및 데이터 통신에서 발생하는 잡음을 제거하기 위한 다양한 연구가 진행되고 있다. 그러나 기존 AWGN 제거 기법들은 잡음 제거 과정에서 블러링 현상을 일으키며 영상의 정보를 훼손시키는 특징을 가지고 있다. 본 논문에서는 영상에 존재하는 AWGN을 제거 과정에서 영상의 정보 손실을 최소화하기 위한 알고리즘을 제안하였다. 제안한 알고리즘은 영상에 존재하는 AWGN을 유추하여 잡음의 특성에 따라 가중치를 적용하며, 고주파 성분에 강한 필터와 저주파 성분에 강한 필터의 출력을 가감하여 출력을 계산한다. 제안한 알고리즘은 기존 방법과 비교하여 AWGN 제거 과정에서 블러링 현상이 적었으며 잡음 제거 성능이 우수하였다.

Keywords

Acknowledgement

This work was supported by a Research Grant of Pukyong National University(2019)

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