The nonlinear response affects the effect of imaging system response non-uniformity correction (NUC) methods. Most of the methods are effective in a certain range of responses. In this paper, a new NUC method is proposed based on the mechanism of imaging system response non-uniformities production. Optical system-related non-uniformity is described as radiation transmission non-uniformity (RTNU) and detector-related non-uniformity is described as radiation conversion non-uniformity (RCNU). The RTNU is removed by inverse operation and RCNU is removed by regularization optimization. We verify the proposed method with respect to visual effect evaluation of actual scene images and three performance metrics evaluation of statistical F ratio, F-norm roughness and chromatic aberration ellipse. The experimental results verify the effect of our method. The proposed method is effective for NUC in a larger range of responses.
Get full access to this article
View all access options for this article.
References
1.
VenkateswarluRErMHGanYHFongYC. Nonuniformity compensation for IR focal plane array sensors. Proceedings of SPIE1997; 3061: 915–926.
2.
FriedenbergAGoldblattI. Nonuniformity two-point linear correction errors in infrared focal plane arrays. Optical Engineering1998; 37(4): 1251–1253.
3.
XingSZhangJSunLChangBQianY. Two-point non-uniformity correction based on LMS. Proceedings of Photonics Asia 2004, Beijing, China, Nov 8–11: 2005: 130–136.
4.
HouESHLiJKosonockyWF. Real-time implementation of two-point nonuniformity correction for IR-CCD imagery. Proceedings of Photonics East ‘95 1995, Philadelphia, PA, USA, Oct 22–26: 1995: 44–50.
5.
LiangKYangCPengLZhouB. Nonuniformity correction based on focal plane array temperature in uncooled long-wave infrared cameras without a shutter. Applied Optics2017; 56(4): 884–889.
6.
OrżanowskiT. Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays. Springer Plus2016; 5(1): 1–8.
7.
KimS. Two-point correction and minimum filter-based nonuniformity correction for scan-based aerial infrared cameras. Optical Engineering2012; 51(10): 106401.
8.
MiltonAFBaroneFRKruerMR. Influence of nonuniformity on infrared focal plane array performance. Optical Engineering1985; 24(5): 855–862.
MiaoLXuQZhangMSunDLiuY. Real-time implementation of multi-point nonuniformity correction for IRFPA based on FPGA. Proceedings of International Symposium on Photoelectronic Detection and Imaging 2009, Beijing, China, Aug 4: 2009: 73830F.
11.
ZhouHQinHBaiLLiuQGengXWangB. Nonuniformity correction algorithm with nonlinear model for infrared focal plane arrays. Infrared Physics and Technology2010; 53(1): 10–16.
12.
ScribnerDAKruerMRGridleyCJSarkadyK. Measurement, characterization, and modeling of noise in staring infrared focal plane arrays. Proceedings of 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, Orlando, FL, USA, Sep 24: 1987: 147–160.
13.
PerryDLEustaceEL. Linear theory of nonuniformity correction in infrared staring sensors. Optical Engineering1993; 32(8): 1854–1859.
14.
PetrushevskyV. Calibration method for IR channel of dual band long range airborne camera. Proceedings of Infrared Technology and Applications XXX, Orlando, FL, USA, Aug 30: 2004: 844–852.
15.
KimSChangTG. Nonuniformity correction scheme considering the effects of internal thermal stray light. Optical Engineering2017; 56(1): 013104.
16.
NarendraPM. Reference-free nonuniformity compensation for IR imaging arrays. Proceedings of 24th Annual Technical Symposium, San Diego, CA, USA, Jan 1: 1980: 10–17.
17.
NarendraPM. Scene-based nonuniformity compensation for imaging sensors. IEEE Transactions on Pattern Analysis and Machine Intelligence1982; 4(1): 57–61.
18.
HayatMMTorresSNArmstrongECainSCYasudaB. Statistical algorithm for nonuniformity correction in focal-plane arrays. Applied Optics1999; 38(8): 772–780.
19.
TorresSNPezoaJEHayatMM. Scene-based nonuniformity correction for focal plane arrays by the method of the inverse covariance form. Applied Optics2003; 42(29): 5872–5881.
20.
PezoaJEHayatMM. Multimodel Kalman filtering for adaptive nonuniformity correction in infrared sensors. Optical Society of America A2006; 23(6): 1282–1291.
21.
ZhouHQinHJianYWangBLiuS. Improved Kalman-filter nonuniformity correction algorithm for infrared focal plane arrays. Infrared Physics and Technology2008; 51(6): 528–531.
22.
CatariusAMSealMD. Static scene statistical algorithm for nonuniformity correction in focal-plane arrays. Optical Engineering2015; 54(10): 104111.
23.
HuangJMaYFanFMeiXLiuZ. A scene-based nonuniformity correction algorithm based on fuzzy logic. Optical Review2015; 22(4): 614–622.
24.
RedlichRFigueroaMTorresSNPezoaJE. Embedded nonuniformity correction in infrared focal plane arrays using the constant range algorithm. Infrared Physics and Technology2015; 69: 164–173.
25.
EduardoABPipaDRPagliariCL. Recursive algorithms for bias and gain nonuniformity correction in infrared videos. IEEE Transactions on Image Processing2012; 21(12): 4758–4769.
26.
HardieRCHayatMMArmstrongEYasudaB. Scene-based nonuniformity correction with video sequences and registration. Applied Optics2000; 39(8): 1241–1250.
BoutemedjetADengCZhaoB. Robust approach for nonuniformity correction in infrared focal plane array. Sensors2016; 16(11): 1890.
29.
BlackWTTyoJS. Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm. Journal of Electronic Imaging2014; 23(2): 023005.
30.
LiuNQiuH. A time-domain projection-based registration-scene-based nonuniformity correction technology and its detailed hardware realization. Optical Review2014; 21(1): 17–26.
31.
ZuoCZhangYChenQGuGQianWSuiX, et al. A two-frame approach for scene-based nonuniformity correction. Infrared Physics and Technology2013; 60: 190–196.
32.
ZuoCChenQGuGSuiXRenJ. Improved interframe registration based nonuniformity correction for focal plane arrays. Infrared Physics and Technology2012; 55(4): 263–269.
33.
ZuoCChenQGuGSuiX. Scene-based nonuniformity correction algorithm based on interframe registration. Optical Society of America A2011; 28(6): 1164–1176.
34.
ScribnerDASarkayKACaldfieldJTKruerMRKatzGGridleyJC. Nonuniformity correction for staring IR focal plane arrays using scene-based techniques. Proceedings of Infrared Detectors and Focal Plane Arrays 1990, Orlando, FL, USA, Sep 1: 1990: 224–233.
35.
VeraETorresSN. Fast adaptive nonuniformity correction for infrared focal-plane array detectors. EURASIP Journal on Applied Signal Processing2005; 13: 1994–2004.
36.
TorresSNVeraEMReevesRASobarzoSK. Adaptive scene-based non-uniformity correction method for infrared-focal plane arrays. Proceedings of Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIV, Orlando, FL, USA, Aug 22: 2003: 130–139.
37.
YuHZhangZWangC. An improved retina-like nonuniformity correction for infrared focal-plane array. Infrared Physics and Technology2015; 73: 62–72.
38.
LiuZMaYFanFMaJ. Nonuniformity correction based on adaptive sparse representation using joint local and global constraints based learning rate. IEEE Access2018; 6: 10822–10839.
39.
LiYJinWZhuJZhangXLiS. An adaptive deghosting method in neural network-based infrared detectors nonuniformity correction. Sensors2018; 18(1): 211.
40.
LaiRYueGZhangG. Total variation based neural network regression for nonuniformity correction of infrared images. Symmetry2018; 10(5): 157.
41.
RatliffBMHayatMMHardieRC. An algebraic algorithm for nonuniformity correction in focal-plane arrays. Optical Society of America A2002; 19(9): 1737–1747.
42.
RatliffBMHayatMMTyoJS. Radiometrically accurate scene-based nonuniformity correction for array sensors. Optical Society of America A2003; 20(10): 1890–1899.
43.
BlackWTTyoJS. Improving feedback-integrated scene cancellation nonuniformity correction through optimal selection of available camera motion. Journal of Electronic Imaging2014; 23(5): 053014.
44.
ZuoCChenQGuGSuiX. Scene based nonuniformity correction based on block ergodicity for infrared focal plane arrays. Optik2012; 123(9): 833–840.
45.
QianWChenQGuG. The high-frequency constant-statistics constraint nonuniformity correction algorithm. Journal of Infrared, Millimeter and Terahertz Waves2011; 32(6): 778–792.
46.
Labsphere. We measure, create, and reflect LIGHT to advance the future, enabling people and businesses to work better. Unleash the power of LIGHT with us. Retrieved 5 Nov 2021, from https://www.labsphere.com
