文献类型：期刊文献

英文题名：Fast colorization for single-band thermal video sequences

作者：Gu, Xiaojing[1];He, Mengchi[1];Leung, Henry[2];Gu, Xingsheng[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada

年份：2016

卷号：171

起止页码：1146

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20153501215823);WOS:【SCI-EXPANDED(收录号:WOS:000364883900113)】；

基金：The work was supported by National Natural Science Foundation of China under Grant nos. 61205017, 61375007 and 61072090 and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Color night-vision; Thermal video; Double Lomax distribution; Abnormal color correction; Fast algorithm

摘要：The color night-vision technology is advantageous to scene interpretation by displaying original monochrome night-vision imagery with colors, leading the future trend of night-vision development. Until recently, the methods of color night-vision are mostly based on multi-band sensor fusion that do not apply to thermal systems which are only sensitive to one spectral band. To address this, we present a novel technique in this paper aiming to directly give thermal videos day-time color appearance. We observe that the interframe pixel's luminance changing over thermal videos approximately follows a Double Lomax distribution. Based on this observation and computational reasons, we propose a star-shape mask for pixel matching. We further show how the mask can be used for efficient thermal video colorization. Additionally, considering the accumulating errors in sequence, we propose a simple region-similarity based abnormal color correction mechanism. Experiments on real applied thermal night-vision videos show that our method can efficiently render single-band thermal sequence with correct colors at 12-33 frame-per-second (fps), providing observers with enhanced facility of surrounding recognition and target recognition. (C) 2015 Elsevier B.V. All rights reserved.