Nonuniformity correction of infrared image sequences using the constant-statistics constraint

被引：258

作者：

Harris, JG ^{[1
]}

Chiang, YM

机构：

[1] Univ Florida, Dept Elect & Comp Engn, Comp Neuroengn Lab, Gainesville, FL 32611 USA

[2] Hewlett Packard Co, VLSI Technol Ctr, Ft Collins, CO 80525 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1999年 / 8卷 / 08期

基金：

美国国家科学基金会;

关键词：

ghosting artifact; infrared images; IRFPA processing; nonuniformity correction;

D O I：

10.1109/83.777098

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of IRFPA's and other imaging arrays, The CS model provides an efficient implementation that can also eliminate much of the ghosting artifact that plagues all scene-based nonuniformity correction (NUC) algorithms. The CS algorithm with deghosting is demonstrated on synthetic and real infrared (IR) sequences and shown to improve the overall accuracy of the correction procedure.

引用

页码：1148 / 1151

页数：4

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