TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Adaptive Object-Region-Based Image Pre-Processing for a Noise Removal Algorithm |
| 영문제목(English Title) |
Adaptive Object-Region-Based Image Pre-Processing for a Noise Removal Algorithm |
| 저자(Author) |
Sangwoo Ahn
Jongjoo Park
Linbo Luo
Jongwha Chong(corresponding author)
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| 원문수록처(Citation) |
VOL 07 NO. 12 PP. 3166 ~ 3179 (2013. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A pre-processing system for adaptive noise removal is proposed based on the principle of identifying and filtering object regions and background regions. Human perception of images depends on bright, well-focused object regions; these regions can be treated with the best filters, while simpler filters can be applied to other regions to reduce overall computational complexity. In the proposed method, bright region segmentation is performed, followed by segmentation of object and background regions. Noise in dark, background, and object regions is then removed by the median, fast bilateral, and bilateral filters, respectively. Simulations show that the proposed algorithm is much faster than and performs nearly as well as the bilateral filter (which is considered a powerful noise removal algorithm); it reduces computation time by 19.4 % while reducing PSNR by only 1.57 % relative to bilateral filtering. Thus, the proposed algorithm remarkably reduces computation while maintaining accuracy.
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| 키워드(Keyword) |
noise reduction
image segmentation
bilateral filter
higher-order statistics
pre-processing
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| 파일첨부 |
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