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Proceedings Paper

Low complexity pixel-based halftone detection
Author(s): Jiheon Ok; Seong Wook Han; Mielikainen Jarno; Chulhee Lee
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Paper Abstract

With the rapid advances of the internet and other multimedia technologies, the digital document market has been growing steadily. Since most digital images use halftone technologies, quality degradation occurs when one tries to scan and reprint them. Therefore, it is necessary to extract the halftone areas to produce high quality printing. In this paper, we propose a low complexity pixel-based halftone detection algorithm. For each pixel, we considered a surrounding block. If the block contained any flat background regions, text, thin lines, or continuous or non-homogeneous regions, the pixel was classified as a non-halftone pixel. After excluding those non-halftone pixels, the remaining pixels were considered to be halftone pixels. Finally, documents were classified as pictures or photo documents by calculating the halftone pixel ratio. The proposed algorithm proved to be memory-efficient and required low computation costs. The proposed algorithm was easily implemented using GPU.

Paper Details

Date Published: 17 September 2011
PDF: 7 pages
Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570N (17 September 2011); doi: 10.1117/12.895089
Show Author Affiliations
Jiheon Ok, Yonsei Univ. (Korea, Republic of)
Seong Wook Han, Samsung Electronics Co., Ltd. (Korea, Republic of)
Mielikainen Jarno, Yonsei Univ. (Korea, Republic of)
Chulhee Lee, Yonsei Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8157:
Satellite Data Compression, Communications, and Processing VII
Bormin Huang; Antonio J. Plaza; Carole Thiebaut, Editor(s)

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