Fixed-coefficient iterative bilateral filters for graph-based image processing

Chang Jian, Kohei Inoue, Hara Kenji, Kiichi Urahama

研究成果: ジャーナルへの寄稿Conference article

2 引用 (Scopus)

抜粋

We present a graph-based image processing algorithm using fast iterative bilateral filters. The computation of bilateral filters is accelerated with fixation of the coefficients during iterations and their approximate decomposition further speeds up the computation. We show that this fixed-coefficient iterative bilateral filter is an alternative solver for optimization problems in graph-based data analyses and apply its fast algorithm to graph-based image processing tasks. Performance of the present algorithm is demonstrated with experiments of contrast enhancement and smoothing of images using cross bilateral filters, in addition to semi-supervised image segmentation and colorization of monochromatic images.

元の言語英語
ページ(範囲)473-484
ページ数12
ジャーナルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5414 LNCS
DOI
出版物ステータス出版済み - 2 19 2009
イベント3rd Pacific Rim Symposium on Image and Video Technology, PSIVT 2009 - Tokyo, 日本
継続期間: 1 13 20091 16 2009

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

これを引用