JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
A Mask-based Gaussian Noise Removal Algorithm in Spatial Space |
| 영문제목(English Title) |
A Mask-based Gaussian Noise Removal Algorithm in Spatial Space |
| 저자(Author) |
Hyun-Soo Seo
Nam-Ho Kim
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| 원문수록처(Citation) |
VOL 05 NO. 03 PP. 0259 ~ 0264 (2007. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
According to the development and wide use of broad band internet etc., diverse application technologies using large capacity data such as images have been progressed and in these systems, for accurate acquisition and precise applications of an original signal, the degradation phenomenon generated in the transmission process etc. should be removed. Noises have become known as the main cause of the degradation phenomenon and especially Gaussian noise represents characteristics occurring dependently in image signals and degrades detail information such as edge. In this paper, we removed Gaussian noise using a subdivided nonlinear function according to a threshold value and analyzed the histogram acquired from an edge image to establish a threshold value adaptively, and strengthened detail information of image by using the postprocessing. In simulation results, the proposed method represented excellent performance from comparison of MSE with existing methods.
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| 키워드(Keyword) |
Degradation phenomenon
Gaussian noise removal
histogram
threshold value
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| 파일첨부 |
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