Ghosting reduction in scene-based nonuniformity correction of infrared image sequences  

作　　者：白俊奇 陈钱 钱惟贤 王娴雅 

机构地区：[1]441 Lab,School of Electronic Engineering and Optoelectronic Techniques,Nanjing University of Science and Technology

出　　处：《Chinese Optics Letters》2010年第12期1113-1116,共4页中国光学快报（英文版）

基　　金：supported by the Jiangsu Province Natural Science Foundation of China (No.BK2008049);the Colleges and Universities Innovation Projects (No.CX08B 045Z);the Nanjing University of Science and Technology (NUST) Research Funding (No. 2010ZDJH12)

摘　　要：Scene-based adaptive nonuniformity correction （NUC） is currently being applied to achieve higher performance in infrared imaging systems. However, almost all scene-based NUC algorithms cause the production of ghosting artifacts over output images. Based on constant-statistics theory, we propose a novel threshold self-adaptive ghosting reduction algorithm to improve the space low-pass and temporal high-pass （SLP- THP） NUC technique. The correction parameters of the previous frame are regarded as thresholds to compute new correction parameters. Experimental results show that the proposed algorithm can obtain a satisfactory performance in reducing unwanted ghosting artifacts.Scene-based adaptive nonuniformity correction （NUC） is currently being applied to achieve higher performance in infrared imaging systems. However, almost all scene-based NUC algorithms cause the production of ghosting artifacts over output images. Based on constant-statistics theory, we propose a novel threshold self-adaptive ghosting reduction algorithm to improve the space low-pass and temporal high-pass （SLP- THP） NUC technique. The correction parameters of the previous frame are regarded as thresholds to compute new correction parameters. Experimental results show that the proposed algorithm can obtain a satisfactory performance in reducing unwanted ghosting artifacts.

关 键 词：Imaging systems Thermography (imaging) 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]