基于低照度三基色图像去噪及融合彩色图像增强方法研究

吴海兵; 张良; 顾国华; 陶海军; 宁全利

doi:doi:10.5768/jao201839.0102003

应用光学, 2018, 39 (1): 57, 网络出版: 2018-03-15

基于低照度三基色图像去噪及融合彩色图像增强方法研究

Color image enhancement based on LLL tricolor image denoising and fusion

论文大纲

吴海兵 ^*张良顾国华陶海军宁全利

作者单位

陆军炮兵防空兵学院，安徽合肥 230031

摘要

现有的各类彩色图像增强方法，主要用于对光照不均匀或弱光条件下已获取的彩色图像进行直接增强，而低照度彩色成像系统获取的彩色图像是由单独采集的三基色图像融合而成。为此提出了基于低照度三基色图像去噪及融合彩色图像增强方法。利用小波变换对低照度条件下独立采集的三基色图像进行去噪；然后将去噪后图像融合成彩色图像，将彩色图像由RGB颜色空间转换为HSV颜色空间；在HSV空间对V进行MSR增强，再对增强后的图像进行S调整；最后再将其转换回RGB颜色空间。采用客观评价方法对选取的去噪增强后图像进行了评价。结果表明：经过去噪和增强后的彩色图像在均值、方差和熵3项指标上均优于三基色直接融合的彩色图像，平均提高幅度为均值11.37%、方差8.46%、信息熵0.44%。该方法可移植到低照度彩色成像系统中，对成像质量的提升具有指导意义。

Abstract

The existing color image enhancement methods are mainly used for directly enhancing color images obtained under the condition of uneven illumination or low light, and color images acquired by low-light-level(LLL) color imaging system are obtained by separately collecting tricolor images fused.According to this,a method is proposed to improve color image enhancement based on LLL tricolor image denoising and fusion. Firstly the LLL tricolor image is denoised by using wavelet transform and fused into a color image,then the color image is transformed from RGB color space to HSV color space.Secondly V is enhanced with MSR in HSV space and the enhanced image is adjusted by S. Finally it is converted back to RGB color space. This denoised and enhanced image is evaluated by objective evaluation method. Results show that this denoised and enhanced image is better than that of the tricolor image fused directly, and average increase rate of average value, variance and information entropy are 11.37%, 8.46% and 0.44% respectively. The method can be transplanted into LLL color imaging system, which has strong guiding significance for improvement of image quality.

参考文献

[1] 金伟其, 陶禹, 石峰,等.微光视频器件及其技术的进展［J］.红外与激光工程, 2015, 44(11):3167-3176.

JIN Weiqi,TAO Yu,SHI Feng,et al.Progress of low level light video technology［J］.Infrared and Laser Engineering,2015, 44(11):3167-3176.

[2] TOET A.Colorizing grayscale intensified nightvision images ［C］.Stoeltholm,Sweden:International Society of Information Fusion,2004: 1066-1071.

[3] TOET, A, HOGERVORST M A.Progress in color night vision［J］.Optical Enginering,2012,51(1):1-20.

[4] 柏连发,张毅,顾国华,等.微光图像和紫外图像分析与融合方法研究［J］.红外与激光工程,2007,36(1):113-117.

BAI Lianfa, ZHANG Yi, GU Guohua,et al.Analysis and fusion methods on low light level image and ultraviolet image［J］. Infrared and Laser Engineering, 2007, 36(1):113-117.

[5] 史世明,王岭雪,金伟其.自然感色彩的可见光/红外控向金字塔融合［J］.光电子·激光, 2009,20(11): 1552-1556.

SHI Shiming,WANG Lingxue,JIN Weiqi.Natural color appearance steerable pyramid color fusion for visible and IR images［J］.Journal of Optoelectronics·Laser, 2009,20(11): 1552-1556.

[6] 史世明,王岭雪,金伟其,等.基于 YUV 空间色彩传递的可见光/热成像双通道彩色成像系统［J］.兵工学报,2009,30(1):30-35.

SHI Shiming,WANG Lingxue,JIN Weiqi,et al.A dual-band color imaging system for visible and thermal IR images based on color transfer in YUV color space［J］.Acta Armamentarii, 2009,30(1):30-35.

[7] 吴海兵,陶声祥, 张良,等.低照度条件下三基色获取及真彩色融合方法研究［J］.应用光学,2016,37(5):673-679.

WU Haibing,TAO Shengxiang,ZHANG Liang,et al .Tricolor acquisition and true color images fusion method under low illumination condition［J］.Journal of Applied Optics,2016,37(5): 673-679.

[8] CHEN Y,FENG P,YANG J , et al.An adaptive enhancement algorithm of low illumine color video image［J］.Int J Sensing, Computing&Control, 2012, 2(2): 79-86.

[9] 胡琼,汪荣贵,胡韦伟,等.基于直方图分割的彩色图像增强算法［J］.中国图象图形学报,2009, 14(9):1776-1781.

HU Qiong,WANG Ronggui,HU Weiwei,et al.Color images enhancement based on histogram segmentation［J］.Journal of Image and Graphics,2009, 14(9):1776-1781.

[10] 焦竹青,徐保国.基于同态滤波的彩色图像光照补偿方法［J］.光电子·激光, 2010,21(4):602-605.

JIAO Zhuqing,XU Baoguo.Color image illumination compensation based on homomorphic filtering［J］.Journal of Optoelectronics·Laser, 2010,21(4):602-605.

[11] 汪荣贵,张新龙,张璇,等.基于Retinex理论的压缩域图像增强方法研究［J］.计算机研究与发展,2011,48(2):259-270.

WANG Ronggui,ZHANG Xinlong,ZHANG Xuan,et al.Image enhancement in the compressed domain based on Retinex theory［J］. Journal of Computer Research and Development, 2011, 48(2):259-270.

[12] 李庆忠,刘清.基于小波变换的低照度图像自适应增强算法［J］.中国激光, 2015,42(2):272-278.

LI Qingzhong,LIU Qing.Adaptive enhancement algorithm for low illumination images based on wavelet transform［J］.Chinese Journal of Lasers, 2015,42(2):272-278.

[13] 秦绪佳,王慧玲,杜轶诚,等.HSV色彩空间的Retinex结构光图像增强算法［J］.计算机辅助设计与图形学学报,2013, 25(4):488-493.

QIN Xujia,WANG Huiling,DU Yicheng,et al.Structured light image enhancement algorithm based on Retinex in HSV color space［J］.Journal of Computer-Aided Design&Computer Graphics, 2013, 25(4):488-493.

[14] 张勇,金伟其.夜视融合图像质量客观评价方法［J］.红外与激光工程,2013, 42(5):1360-1365.

ZHANG Yong,JIN Weiqi.Objective assessment method of night vision fusion image quality［J］.Infrared and Laser Engineering, 2013,42(5):1360-1365.

吴海兵, 张良, 顾国华, 陶海军, 宁全利. 基于低照度三基色图像去噪及融合彩色图像增强方法研究[J]. 应用光学, 2018, 39(1): 57. Wu Haibing, Zhang Liang, Gu Guohua, Tao Haijun, Ning Quanli. Color image enhancement based on LLL tricolor image denoising and fusion[J]. Journal of Applied Optics, 2018, 39(1): 57.

基于低照度三基色图像去噪及融合彩色图像增强方法研究

关于本站 Cookie 的使用提示

全站搜索

基于低照度三基色图像去噪及融合彩色图像增强方法研究

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索