一种改进的图像阴影去除方法

doi:10.16180/j.cnki.issn1007-7820.2021.04.007

Abstract

Abstract:

In view of the problems of illumination unsaturation and texture inconsistency after shadow removal, a shadow removal method based on Retinex is proposed in this study. Based on the relationship between incident light and reflected light in Retinex theory, this method reevaluates the incident light map, assignes the average value of pixels in the three RGB channels to the target pixel point, and improves the gradient descent method. By adjusting the adaptive weight, the problem of illumination unsaturation and texture inconsistency after shadow removal is improved. The experiments on the UIUC data set prove that the root mean square error ratio of the experimental results is reduced to 0.4106, which verifies the effectiveness of the proposed method.

Key words: HSV, NSVDI, Nobuyuki Otsu, Retinex, light unsaturated, edege smooth, texture enhancement, gradient descent method

CLC Number:

TP391.41

HU Chen,HU Demin,HU Yuyuan,CHU Chengwei. An Improved Image Shadow Removal Method[J].Electronic Science and Technology, 2021, 34(4): 41-46.

Figures/Tables 7

Figure 1.

Table 1

Figure 2.

Figure 3.

Table 2

Table 3

Figure 4.

References 18

[1]	Xu M L, Zhu J J, Pei L , et al. Learning based shadow recognition and removal from monochromatc natural images[J]. IEEE Transactions on Image Process- ig, 2017,26(12):5811-5824.
[2]	Tiemaxiaosu. 阴影处理[EB/OL].( 2016 -06-23)[2019-09-15] https://blog.csdn.net/tiemaxiaosu/article/details/5164871.
[3]	Zhu J, Kegan S G G, Marshall S Z. Learning to recognize shadow in monochromatic images[C]. San Francisco: IEEE Conference on Computer Vision and Pattern Recognition, 2010.
[4]	Gryka M, Terry M, Brostow G J. Learning to remove soft shadows[J]. ACM Transactions on Graphics, 2015,34(5):1-15.
[5]	Khan S H, Bennamoun M, Sohel F , et al. Automatic shad- ow detection and removal from a single image[J]. IEEE Transactions on Pattern Anal Mach Intell, 2016,38(3):431-446.
[6]	Guo R Q, Dai Q Y, Derek H. Paired regions for shadow detection and removal[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013,35(12):2956-2967. doi: 10.1109/TPAMI.2012.214 pmid: 24136433
[7]	梁磊, 刘怀, 董春燕 , 等. 结合亮度比值梯度与颜色特征的阴影去除算法[J]. 小型小微计算机系统, 2019,40(4):802-807.
	Liang Lei, Liu Huai, Dong Chunyan , et al. Shadow removal algorithms combining brightness ratio gradient and color feature[J]. Journal of Chinese Computer Systems, 2019,40(4):802-807.
[8]	Zhang L, Zhang Q, Xiao C. Shadow remover:image shadow removal based on illumination recovering optimization[J]. IEEE Transactions on Image Processing, 2015,24(11):1-13.
[9]	帅滔, 张洪艳. 基于新型阴影指标的遥感影响阴影检测方法[J]. 电子科技, 2016,29(2):92-95.
	Shuai Tao, Zhang Hongyan. A shadow detection method in high-resolution remote sensing imagery based on novel shadow index[J]. Electronic Science and Technology,206, 29(2):92-95.
[10]	Saritha Murali, Govindan V K. Shadow detection and removal from a single image using LAB color space[J]. Cybernetics and Information Technologies, 2013,13(1):95-103.
[11]	Yana I S. Shadow detection and removal using a shadow formation model[C]. Lviv:IEEE First International Conference on Data Stream Mining & Processing, 2016.
[12]	Victor J D T. A comparative study on shadow compesation of color aerial images in invariant color models[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006,44(7):1661-1671.
[13]	鸭子船长. 颜色空间RGB与HSV(HSL)的转换[EB/OL].( 2015 -10-27)[2019-9-15]https://www.cnblogs.com/zl1991/p/4913450.html.
[14]	Krishna K S, Kirat P, Nigam M J. Shadow dete- ction and removal from remote sensing images using NDI and morphological operators[J]. International Journal of Computer Applications, 2012,42(10):37-40.
[15]	Azevedo S C, Silva E A, Pedrosa M M. Shadow detection improvement using spectral indices and morphological operators in urban areas in high resolution images[C]. Berlin:The Thirty-sixth International Symposium on Remote Sensing of Environmental, 2015.
[16]	Imageshop. 带色彩恢复的多尺度视网膜增强算法(MSRCR)的原理、实现及应用[EB/OB].( 2013 -04-17) [2019-08-26]https://www.cnblogs.com/Imageshop/archive/2013/04/17/3026881.html.
[17]	Land E H. The retinex theory of color vision[J]. Scientific American, 1977,237(6):108-128. doi: 10.1038/scientificamerican1277-108 pmid: 929159
[18]	Han G, Darren C. Image and vision computing[J]. Image and Vision Computing, 2017,62(4):19-27.

参数	数值
处理器	第八代智能英特尔酷睿 i5-8300H
内存	8 GB
操作系统	Windows 10 64位
编程软件	Python3.6+OpenCV3(纯CPU模式)

方法	BER
文献[1]	11.003 2
文献[6]	12.678 5
文献[10]	12.293 6
本文方法	10.358 1

方法	ER(image)	ER(shadow)
文献[1]	0.621 1	0.439 2
文献[6]	0.634 0	0.526 8
文献[10]	0.621 6	0.447 8
本文方法	0.601 5	0.410 6

An Improved Image Shadow Removal Method

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 18

Related Articles 7

Metrics

Comments

Recommended 6

[1]	YANG Lingxiao,WANG Zhenying,LIU Qunpo,WANG Gaowei,YANG Yanchao. Study of Apple Coloration Detection Algorithm Based on H-S Histogram [J]. Electronic Science and Technology, 2021, 34(5): 13-17.
[2]	MA Xudong,YUAN Ruibo. An Identification Method of Coins Denomination Based on Image Detection [J]. Electronic Science and Technology, 2020, 33(2): 43-47.
[3]	WANG Wei,HU Yiming,SHI Qiang. The Application of Gradient Descent Method in Optimizing the Dispatching Function of Reservoirs [J]. Electronic Science and Technology, 2020, 33(1): 68-72.
[4]	YU Hao,ZHANG Rongfu,CHENG Jinguang,GUO Shiping. Ladle License Plate Recognition Based on Image Processing [J]. , 2016, 29(1): 94-.
[5]	YU Ting. A Novel Image Denoising Method Based on Structural Similarity [J]. , 2015, 28(3): 1-.
[6]	WANG Yi,WANG Chuangxin,LU Jin,SHENG Wenzheng. License Plate Detection Based on HSV Color Model and Improved AdaBoost Algorithm [J]. , 2015, 28(2): 107-.
[7]	YIN Hong-Ran, YU Hao, QIN Qing-Feng. Color Image Enhancement Based on Retinex Theory [J]. , 2012, 25(3): 21-.