Optics and Precision Engineering, Volume. 26, Issue 5, 1254(2018)
Micro-vision image adaptive enhancement and application based on raised cosine variable gain
[1] [1] WANG X K. Broad manufacturing theory [J]. Chinese Journal of Mechanical Engineering, 2003, 39(10): 86-94. (in Chinese)
[2] [2] WANG X K. Modern manufacturing technology and its development [J]. Modern Manufacturing Engineering, 2008(1): 1-8. (in Chinese)
[3] [3] GUO T, MA L, BIAN Y. MEMS characterization based on optical measuring methods [M]//ISLAM N. Microelectromechanical Systems and Devices, Rijeka, Croatia: Nazmul Islam., 2012.
[4] [4] WU H, ZHANG X M, GAN J Q, et al.. Displacement measurement system for inverters using computer micro-vision [J]. Optics and Lasers in Engineering, 2016, 81: 113-118.
[5] [5] ZHANG X, ZHANG X M, WU H, et al.. A high accuracy algorithm of displacement measurement for a micro-positioning stage [J]. AIP Advances, 2017, 7(5): 055301.
[6] [6] CHOI M S, KIM W Y. A novel two stage template matching method for rotation and illumination invariance [J]. Pattern Recognition, 2002, 35(1): 119-129.
[7] [7] WEI B H, WANG F, HU X P. Rotation-invariant template matching based on ring projection and orientation codes [C]. Proceedings of the 5th International Conference on Intelligent Control and Information Processing, IEEE, 2014: 192-197.
[8] [8] WU H, ZHANG X M, GAN J Q, et al.. High-precision displacement measurement method for three degrees of freedom-compliant mechanisms based on computer micro-vision [J]. Applied Optics, 2016, 55(10): 2594-2600.
[9] [9] HUANG Z, ZHANG X M, CHEN ZH. Robust multi-scale micro-motion measurement algorithm based on homomorphic filtering [J]. Chinese Journal of Scientific Instrument, 2011, 32(2): 426-431. (in Chinese)
[10] [10] LU Q H, ZHANG X M, FAN Y B. Robust multiscale method for in-plane micro-motion measurement based on computer micro-vision [J]. Journal of Mechanical Engineering, 2009, 45(2): 164-169, 177. (in Chinese)
[13] [13] HAN H, SHAN SH G, CHEN X L, et al.. A comparative study on illumination preprocessing in face recognition [J]. Pattern Recognition, 2013, 46(6): 1691-1699.
[14] [14] ADINI Y, MOSES Y, ULLMAN S. Face recognition: the problem of compensating for changes in illumination direction [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 721-732.
[15] [15] ZOU X, KITTLER J, MESSER K. Illumination invariant face recognition: a survey [C]. Proceedings of the 1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, IEEE, 2007: 1-8.
[17] [17] RUIZ-DEL-SOLAR J, VERSCHAE R. Skin detection using neighborhood information [C]. Proceedings of the 6th IEEE International Conference on Automatic Face and Gesture Recognition, IEEE, 2004: 463-468.
[18] [18] YANG U, KIM B, TOH K A, et al.. Illumination-invariant color space and its application to skin-color detection [J]. Optical Engineering, 2010, 49(10): 107004.
[20] [20] WANG J B, HE N, ZHANG L L, et al.. Single image dehazing with a physical model and dark channel prior [J]. Neurocomputing, 2015, 149: 718-728.
[21] [21] PEI S C, LEE T Y. Nighttime haze removal using color transfer pre-processing and dark channel prior [C]. Proceedings of the 19th IEEE International Conference on Image Processing, IEEE, 2012: 957-960.
[23] [23] YU J D, ZHANG X M, CHEN ZH. Retinex enhancement algorithm with scale optimization and micro vision image enhancement [J]. Journal of South China University of Technology (Natural Science Edition), 2013, 41(2): 7-11. (in Chinese)
[24] [24] LAND E H, MCCANN J J. Lightness and retinex theory [J]. Journal of the Optical Society of America, 1971, 61(1): 1-11.
[25] [25] JOBSON D J, RAHMAN Z, WOODELL G A. Properties and performance of a center/surround retinex [J]. IEEE Transactions on Image Processing, 1997, 6(3): 451-462.
[26] [26] RAHMAN Z, JOBSON D J, WOODELL G A. Multi-scale retinex for color image enhancement [C]. Proceedings of 1996 International Conference on Image Processing, IEEE, 1996: 1003-1006.
[27] [27] JANG J H, BAE Y, RA J B. Contrast-enhanced fusion of multisensor images using subband-decomposed multiscale retinex [J]. IEEE Transactions on Image Processing, 2012, 21(8): 3479-3490.
[28] [28] TOMASI C, MANDUCHI R. Bilateral filtering for gray and color images [C]. Proceedings of the 6th International Conference on Computer Vision, IEEE, 1998: 839-846.
[29] [29] CHAUDHURY K N, SAGE D, UNSER M. Fast O(1) bilateral filtering using trigonometric range kernels [J]. IEEE Transactions on Image Processing, 2011, 20(12): 3376-3382.
[30] [30] VARDHAN D V, REDDY K J. Acceleration of shiftable O (1) algorithm for bilateral filtering and non-local means [J]. International Journal of Science and Research, 2014, 3(9): 1073-1077.
[31] [31] SAHA P K, UDUPA J K, ODHNER D. Scale-based fuzzy connected image segmentation: theory, algorithms, and validation [J]. Computer Vision and Image Understanding, 2000, 77(2): 145-174.
[32] [32] MITTAL A, SOUNDARARAJAN R, BOVIK A C. Making a “completely blind” image quality analyzer [J]. IEEE Signal Processing Letters, 2013, 20(3): 209-212.
[33] [33] WANG ZH, SHEIKH H R, BOVIK A C. No-reference perceptual quality assessment of JPEG compressed images [C]. Proceedings of 2002 International Conference on Image Processing, IEEE, 2002: I-477-I-480.
[34] [34] LIU L X, LIU B, HUANG H, et al.. No-reference image quality assessment based on spatial and spectral entropies [J]. Signal Processing: Image Communication, 2014, 29(8): 856-863.
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ZHANG Xiang, ZHANG Xian-min, LI Hai, LI Kai. Micro-vision image adaptive enhancement and application based on raised cosine variable gain[J]. Optics and Precision Engineering, 2018, 26(5): 1254
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Received: Oct. 16, 2017
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Published Online: Aug. 14, 2018
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