Enhancement Algorithm for Real-time Infrared Image Processing

被引：0

作者：

Si, Tian ^{[1
]}

Wang, Lizhi ^{[1
]}

Tian, Yijia ^{[2
]}

Zhang, Junju ^{[3
]}

机构：

[1] Ningbo Dahongying Univ, Sch Elect & Informat, Ningbo 315175, Zhejiang, Peoples R China

[2] Guizhou Univ, Coll Anim Sci, Guiyang 550025, Peoples R China

[3] Nanjing Univ Sci & Technol, Inst Elect Engn & Opt Technol, Nanjing 210094, Peoples R China

来源：

INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: ADVANCES IN INFRARED IMAGING AND APPLICATIONS | 2011年 / 8193卷

关键词：

infrared image; enhancement; FPGA; linear transformation; RESTORATION; RECONSTRUCTION; SEQUENCE;

D O I：

10.1117/12.900288

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A new real-time infrared image enhancement algorithm which applies to FPGA is proposed in this paper. In real-time infrared image processing, image's contrast is very low, the noise of the regular graph is effects of real-time infrared image system precision primary factors, Seems particularly important how about to reduce infrared image noise and improve the precision at the infrared image. In order to reduce infrared image noise, we use adaptive piecewise linear transformation algorithm for infrared image enhancement, and objective evaluation of the enhanced images, at the same time also to discuss real-time of the algorithm, and verify the feasibility of applying this algorithm.

引用

页数：6

共 17 条

[1]

[Anonymous], 2006, Digital Image Processing

[2] Recent improvements and developments in Uncooled systems at BAE SYSTEMS North America [J].

Backer, BS ;

Butler, N ;

Kohin, M ;

Gurnee, M ;

Whitwam, JT ;

Breen, T .

INFRARED DETECTORS AND FOCAL PLANE ARRAYS VII, 2002, 4721 :83-90

[3] ILL-POSED PROBLEMS IN EARLY VISION [J].

BERTERO, M ;

POGGIO, TA ;

TORRE, V .

PROCEEDINGS OF THE IEEE, 1988, 76 (08) :869-889

[4] SIMPLE REAL-TIME NOISE REMOVAL IN INTENSIFIED LOW-LIGHT-LEVEL TELEVISION IMAGES [J].

BOGER, YS ;

TUR, M .

APPLIED OPTICS, 1992, 31 (17) :3196-3198

[5] A unified approach to statistical tomography using coordinate descent optimization [J].

Bouman, CA ;

Sauer, K .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1996, 5 (03) :480-492

[6]

Bovik A.C., 2000, HDB IMAGE VIDEO PROC

[7] High-resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system [J].

Hardie, RC ;

Barnard, KJ ;

Bognar, JG ;

Armstrong, EE ;

Watson, EA .

OPTICAL ENGINEERING, 1998, 37 (01) :247-260

[8] APPLICATION OF CONSTRAINED LEAST-SQUARES ESTIMATION TO IMAGE RESTORATION BY DIGITAL-COMPUTER [J].

HUNT, BR .

IEEE TRANSACTIONS ON COMPUTERS, 1973, C 22 (09) :805-812

[9] ITERATIVE IMAGE-RESTORATION ALGORITHMS [J].

KATSAGGELOS, AK .

OPTICAL ENGINEERING, 1989, 28 (07) :735-748

[10] Recursive high-resolution reconstruction of blurred multiframe images [J].

Kim, S. P. ;

Su, Wen-Yu .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1993, 2 (04) :534-539

← 1 2 →