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BILATERAL FILTER USING THE NOVEL GAUSSIAN WEIGHT CONSIDERING DIRECTIONALITY FOR IMAGE DE-NOISING

Title
BILATERAL FILTER USING THE NOVEL GAUSSIAN WEIGHT CONSIDERING DIRECTIONALITY FOR IMAGE DE-NOISING
Author
정제창
Keywords
De-noising; Bilateral filtering; Detection direction; Novel Gaussian weight
Issue Date
2016-06
Publisher
ICCSP Organizing Committee
Citation
International Journal Of Electrical, Electronics And Data Communication, v.4, no.8, Page. 1-5
Abstract
In digital image processing, the necessity for a sharp and clean image has been gradually increased. Accordingly, the demand of the technology to effectively remove the noise from the noisy image has also been increased. It is important to remove the degradation factors of the image and improve the quality close to the original image. In this paper, we propose the method using direction which uses a novel Gaussian weight value, and we adjust the intensity Gaussian weight to remove the noise in flat region. In conclusion, the experimental results show that the proposed method can preserve the edge components of the image and remove the noise.
URI
http://ijeedc.iraj.in/paper_detail.php?paper_id=5406&name=Bilateral_Filter_Using_the_Novel_Gaussian_Weight_Considering_Directionality_For_Image_De-Noisinghttps://repository.hanyang.ac.kr/handle/20.500.11754/71892
ISSN
2320-2084
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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