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HOG 기반의 적응적 평활화를 이용한 스캔된 영상의 하프톤 잡음 제거

Title
HOG 기반의 적응적 평활화를 이용한 스캔된 영상의 하프톤 잡음 제거
Other Titles
Halftone Noise Removal in Scanned Images using HOG based Adaptive Smoothing Filter
Author
김회율
Keywords
descreening; halftoning; Moire pattern; adaptive smoothing; histogram of oriented gradients
Issue Date
2012-03
Publisher
한국방송미디어공학회
Citation
방송공학회논문지, 2012, 17, P.316-324(9)
Abstract
In this paper, a novel descreening method using HOG(histogram of gradient)-based adaptive smoothing filter is proposed. Conventional edge-oriented smoothing methods does not provide enough smoothing to the halftone image due to the edge-like characteristic of the halftone noise. Moreover, clustered-dot halftoning method, which is commonly used in printing tends to create Moire pattern because of the intereference in color channels. Therefore, the proposed method uses HOG to distinguish edges and the amount of smoothing to be performed on the halftone image is then calculated according to the magnitude of the HOG in the edge and edge normal orientation. The proposed method was tested on various scanned halftone materials, and the results show that it effectively removes halftone noises as well as Moire pattern while preserving image details.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE01822933http://repository.hanyang.ac.kr/handle/20.500.11754/69528
ISSN
1226-7953
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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