カテゴリ: 論文誌(論文単位)グループ名: 【D】産業応用部門発行日: 2017/07/01タイトル(英語): Sub-optimal Parameter Estimation for Bilateral Filter using Distribution Distance著者名: 真喜志 泰希（豊橋技術科学大学），市川 周一（豊橋技術科学大学），藤枝 直輝（豊橋技術科学大学），山田 親稔（沖縄工業高等専門学校）著者名(英語): Taiki Makishi (Toyohashi University of Technology), Shuichi Ichikawa (Toyohashi University of Technology), Naoki Fujieda (Toyohashi University of Technology), Chikatoshi Yamada (National Institute of Technology, Okinawa College)キーワード: バイラテラルフィルタ，分布間距離，パラメータ推定，高速化，局所探索 bilateral filter，distribution distance，parameter estimation，accelerating，local search要約(英語): A method that estimates the parameters for a bilateral filter, based on the distribution distance of the images, is proposed. This study presents a method to estimate a sub-optimal set of parameters in a reasonable execution time by using a local search method with adequate initial values. The image quality is slightly degraded when sub-optimal parameters are used, and therefore a second method is proposed to compensate the parameters to achieve better image quality. Parameter estimation time was reduced from 398 s (brute-force method) to 0.15s (proposed local search method) with a 2.8GHz Xeon processor. When the compensated parameters are used, the image quality was approximately equal to the optimal result.本誌: 電気学会論文誌D（産業応用部門誌） Vol.137 No.7 （2017）本誌掲載ページ: 576-582 p原稿種別: 論文／日本語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/137/7/137_576/_article/-char/ja/
