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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/4906

タイトル: Matrix Rounding under the L_p-Discrepancy Measure and Its Application to Digital Halftoning
著者: Asano, Tetsuo
Katoh, Naoki
Obokata, Koji
Tokuyama, Takeshi
キーワード: approximation algorithm
digital halftoning
discrepancy
linear programming
matrix rounding
network flow
totally unimodular
発行日: 2003
出版者: Society for Industrial and Applied Mathematics (SIAM)
誌名: SIAM Journal on Computing
巻: 32
号: 6
開始ページ: 1423
終了ページ: 1435
DOI: 10.1137/S0097539702417511
抄録: We study the problem of rounding a real-valued matrix into an integer-valued matrix to minimize an L_p-discrepancy measure between them. To define the L_p-discrepancy measure, we introduce a family F of regions (rigid submatrices) of the matrix and consider a hypergraph defined by the family. The difficulty of the problem depends on the choice of the region family F. We first investigate the rounding problem by using integer programming problems with convex piecewise-linear objective functions and give some nontrivial upper bounds for the L_p discrepancy. We propose “laminar family” for constructing a practical and well-solvable class of F. Indeed, we show that the problem is solvable in polynomial time if F is the union of two laminar families. Finally, we show that the matrix rounding using L_1 discrepancy for the union of two laminar families is suitable for developing a high-quality digital-halftoning software.
Rights: Copyright (C) 2003 Society for Industrial and Applied Mathematics (SIAM). Tetsuo Asano, Naoki Katoh, Koji Obokata, and Takeshi Tokuyama, SIAM Journal on Computing, 32(6), 2003, 1423-1435.
URI: http://hdl.handle.net/10119/4906
資料タイプ: publisher
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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