Bilateral Filter Using the Novel Gaussian Weight Considering Directionality For Image De-Noising
- Authors
- Jeong, Je chang; Lim, Janghyuk; Ryu, Jungwon
- Issue Date
- Aug-2016
- Publisher
- Institute of Research and Journals
- Keywords
- De-noising; Bilateral filtering; Detection direction; Novel Gaussian weight
- Citation
- INTERNATIONAL JOURNAL OF ELECTRICAL, ELECTRONICS AND DATA COMMUNICATION, v.4, no.8, pp 1 - 5
- Pages
- 5
- Indexed
- OTHER
- Journal Title
- INTERNATIONAL JOURNAL OF ELECTRICAL, ELECTRONICS AND DATA COMMUNICATION
- Volume
- 4
- Number
- 8
- Start Page
- 1
- End Page
- 5
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/5508
- ISSN
- 2320-2084
2321-2950
- 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.
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