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http://dx.doi.org/10.3807/COPP.2022.6.3.304

Colour Linear Array Image Enhancement Method with Constant Colour  

Ji, Jing (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Fang, Suping (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Cheng, Zhiqiang (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Publication Information
Current Optics and Photonics / v.6, no.3, 2022 , pp. 304-312 More about this Journal
Abstract
Digital images of cultural relics captured using line scan cameras present limitations due to uneven intensity and low contrast. To address this issue, this report proposes a colour linear array image enhancement method that can maintain a constant colour. First, the colour linear array image is converted from the red-green-blue (RGB) colour space into the hue-saturation-intensity colour space, and the three components of hue, saturation, and intensity are separated. Subsequently, the hue and saturation components are held constant while the intensity component is processed using the established intensity compensation model to eliminate the uneven intensity of the image. On this basis, the contrast of the intensity component is enhanced using an improved local contrast enhancement method. Finally, the processed image is converted into the RGB colour space. The experimental results indicate that the proposed method can significantly improve the visual effect of colour linear array images. Moreover, the objective quality evaluation parameters are improved compared to those determined using existing methods.
Keywords
Colour space conversion; Digitalisation of cultural relics; Image enhancement; Line scan camera; Uneven intensity;
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1 A. Abrardo, V. Cappellini, M. Cappellini, and A. Mecocci. "Art-works colour calibration using the VASARI scanner," in Proc. 4th Color Imaging Conference (Scottsdale, USA, Nov. 19-22, 1996), p. 94C97.
2 J. A. Toque, M. Komori, Y. Murayama, and A. Ide-Ektessabi, "Analytical imaging of traditional japanese paintings using mulitispectral images," in Proc. Computer Vision, Imaging and Computer Graphics. Theory and Applications (Lisboa, Portugal, Feb. 5-8, 2009), pp. 119-132.
3 S. F. Tan and N. A. M. Isa, "Exposure based multi-histogram equalization contrast enhancement for non-uniform illumination images," IEEE Access 7, 70842-70861 (2019).   DOI
4 T. L. Kong and N. A. M. Isa, "Bi-histogram modification method for non-uniform illumination and low-contrast images," Multimed. Tool. Appl. 77, 8955-8978 (2018).   DOI
5 Z. Wang, H. Zhang, J. Liao, H. Guo, and Z. Zhang, "An adaptive gamma method for image under non-uniform illumination," Proc. SPIE 10256, 102561C (2017).
6 M. F. A. Hassan, A. S. A. Ghani, D. Ramachandram, A. Radman, and S. A. Suandi, "Enhancement of under-exposed image for object tracking algorithm through homomorphic filtering and mean histogram matching," Adv. Sci. Lett. 23, 11257-11261 (2017).   DOI
7 Z. Rao, T. Xu, and H. Wang, "Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images," EURASIP J. Wirel. Commun. Netw. 2017, 88 (2017).   DOI
8 P. Zhang, T. J. Arre, and A. Ide-Ektessabi, "A line scan camera-based structure from motion for high-resolution 3D reconstruction," J. Cult. Herit. 16, 656-663 (2015).   DOI
9 R. Kanai, Y. Kowada, P. Wang, P. M. Toiya, J. A. Toque, and A. Ide-Ektessabi, "A novel scanning technique for imaging of gold and silver foils used in art works," in Proc. Computational Color Imaging-CCIW (Milan, Italy, Mar. 29-31, 2017), pp. 150-162.
10 R. K. Xue and Y. F. Li, "Color image enhancement based on HVS and MSRCR," Proc. SPIE 9675, 967516 (2015).
11 H. Yun, Y. Dong, and X. Wang, "Color image enhancement combining human visual characteristics with fuzzy set theory," J. Nanjing Normal Univ. (Eng. Tech.). 3, 25-32 (2018)..
12 S. Shao, Y. F. Guo, H. Liu, H. F. Yuan, and Z. S. Zhang, "Low-illumination remote sensing image enhancement in HSI color space," Opt. Precis. Eng. 26, 2092-2099 (2018).   DOI
13 S. Fang, X. Xia, and Y. Xiao, "A calibration method of lens distortion for line scan cameras," Optik 124, 6749-6751 (2013).   DOI
14 S. Ma, H. Ma, Y. Xu, S. Li, C. Lv, and M. Zhu, "A low-light sensor image enhancement algorithm based on HSI color model," Sensors 18, 3583. (2018).   DOI
15 L. Qin, L. Dong, and W. Xu, "Method for conversion calibration between CCD image gray value and illumination," Chin. J. Sci. Instrum. 36, 639-644 (2015).
16 L. Zhang, L. Yang, T. Luo, and Y. Sun, "A novel illumination compensation method with enhanced Retinex," in Proc. 3rd International Conference on Information Science and Control Engineering -ICISCE (Beijing, China, Jul. 8-10, 2016), pp. 83-87.
17 J. Ji, S. Fang, Z. Shi, Q. Xia, and Y. Li, "An efficient nonlinear polynomial color characterization method based on interrelations of color spaces," Color Res. Appl. 45,1023-1039 (2020).   DOI
18 J. Ji, S. Fang, Q. Xia, and Z. Shic, "An efficient method for scanned images by using color-correction and L0 gradient minimization," Optik 247, 167820 (2021).   DOI
19 H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bovik, "LIVE image quality assessment database," (Laboratory for Image & Video Engineering of the University of Texas at Austin, Published: 2005), http://live.ece.utexas.edu/research/quality (Accessed: Sep. 10 , 2021).
20 X. Xia, S. Fang, and Y. Xiao, "High resolution image fusion algorithm based on multi-focused region extraction," Pattern Recognit. Lett. 45, 115-120 (2014).   DOI
21 D. Wang, W. Yan, T. Zhu, Y. Xie, H. Song, and X. Hu, "An adaptive correction algorithm for non-uniform illumination panoramic images based on the improved bilateral gamma function," in Proc. International Conference on Digital Image Computing: Techniques and Applications-DICTA (Sydney, Australia, Nov. 29-Dec. 1, 2017), pp. 1-6.
22 A. A. S. Gunawan and H. Setiadi, "Handling illumination variation in face recognition using multiscale Retinex," in Proc. International Conference on Advanced Computer Science and Information Systems-ICACSIS (Malang, Indonesia, Oct. 15-16, 2016), pp. 470-475.
23 X. Zhong, Y. Zhang, G. Jin, "Illumination uniformity optimization of wide-viewing-field optical system," Acta Opt. Sin. 32, 0322004 (2012).   DOI
24 S. Wang, D. Gao, Y. Wang, and S. Wang, "An improved Retinex low-illumination image enhancement algorithm," in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference-APSIPA ASC (Lanzhou, China, Nov. 18-21, 2019), pp. 1134-1139.
25 H.R. Kang, Color technology for electronic imaging devices, (SPIE Press, USA, 1997).
26 C.-C. Tseng and S.-L. Lee, "A weak-illumination image enhancement method using homomorphic filter and image fusion," in Proc. IEEE 6th Global Conference on Consumer Electronics-GCCE (Nagoya, Japan, Oct. 24-27, 2017), pp. 1-2.