임펄스 잡음에 의해 훼손된 이진 디지탈 서류 영상의 복구 방법들의 비교 평가
Evaluation of Restoration Schemes for Bi-Level Digital Image Degraded by Impulse Noise
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초록
디지탈 변환과 기기간의 전송 영향으로 화질이 떨어진 디지탈 영상의 복구는 잡음 발생 및 그 역 과정의 모형화를 통해 이루어낼 수 있다. 스캐너로 읽혀진 서류 영상이나 위성 사진에서 잡음 및 반점을 제거하는 과정이 좋은 예이다. 그러나 잡음 발생의 비선형성은 그 역 과정의 이론적 이해를 어렵게한다. 본 논문에서는 충격 잡음에의해 화질이 떨어진 이진 서류 영상의 복구 방법들을 심층 분석하는 것에 촛점을 맞추었다. 본 연구 결과에 의하면 이진 서류 영상의 잡음 제거 방식으로 ‘가중 중앙값’ 여과기와 ‘리’ 여과기가 다른 여과기에 비해 효과적임을 보여준다. 반면 ‘웨이브렛’ 여과 방식은 타 방식보다100여배의 시간이 소요되어 비 효율적이다. 본 논문에서는 가중 중앙값 여과기에 쓰이는 가중치에 대한 연구 결과를 제시하였다.
Abstract
The degradation and its inverse modeling can achieve restoration of corrupted image, caused by scaled digitization and electronic transmission. De-speckle process on the noisy document(or SAR) images is one of the basic examples. Non-linearity of the speckle noise model may hinder the inverse process. In this paper, our study is focused on investigation of the restoration methods for bi-level document image degraded by the impulse noise model. Our study shows that, on bi-level document images, the weighted-median filter and the Lee filter methods are very effective among other spatial filtering methods, but wavelet filter method is ineffective in aspect of processing speed: approximately 100 times slower. Optimal values of the weight to be used in the weighted median filter are investigated and presented in this paper.
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