激光与光电子学进展, 2020, 57 (6): 061102, 网络出版: 2020-03-06   

基于离散余弦变换金字塔分解的新型偏振光学去雾技术 下载: 1301次

Novel Polarimetric Dehazing Method Using Discrete Cosine Transform Based Laplacian Pyramid
作者单位
1 山东理工大学物理与光电工程学院, 山东 淄博 255000
2 陕西师范大学物理学与信息技术学院, 陕西 西安 710119
引用该论文

张文飞, 任立勇, 邢飞, 张芳, 葛筱璐, 王国梅, 付圣贵. 基于离散余弦变换金字塔分解的新型偏振光学去雾技术[J]. 激光与光电子学进展, 2020, 57(6): 061102.

Wenfei Zhang, Liyong Ren, Fei Xing, Fang Zhang, Xiaolu Ge, Guomei Wang, Shenggui Fu. Novel Polarimetric Dehazing Method Using Discrete Cosine Transform Based Laplacian Pyramid[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061102.

参考文献

[1] Henry R C, Mahadev S, Urquijo S, et al. Color perception through atmospheric haze[J]. Journal of the Optical Society of America A, 2000, 17(5): 831-835.

[2] Narasimhan S G, Nayar S K. Vision and the atmosphere[J]. International Journal of Computer Vision, 2002, 48(3): 233-254.

[3] 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.

[4] Tarel JP, HautiereN. Fast visibility restoration from a single color or gray level image[C]∥2009 IEEE 12th International Conference on Computer Vision, September 29-October 2, 2009, Kyoto, Japan. New York: IEEE, 2009: 2201- 2208.

[5] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.

[6] Meng GF, WangY, Duan JY, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]∥2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, Australia. New York: IEEE, 2013: 617- 624.

[7] Lu H M, Li Y J, Nakashima S, et al. Single image dehazing through improved atmospheric light estimation[J]. Multimedia Tools and Applications, 2016, 75(24): 17081-17096.

[8] 曾致远, 周亚同, 池越, 等. 天空优化的数字图像暗通道先验去雾算法[J]. 激光与光电子学进展, 2018, 55(8): 081010.

    Zeng Z Y, Zhou Y T, Chi Y, et al. Dark channel prior dehazing algorithm based on sky optimization of digital image[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081010.

[9] 郭翰, 徐晓婷, 李博. 基于暗原色先验的图像去雾方法研究[J]. 光学学报, 2018, 38(4): 0410002.

    Guo H, Xu X T, Li B. Study on image dehazing methods based on dark channel prior[J]. Acta Optica Sinica, 2018, 38(4): 0410002.

[10] FengC, Zhuo SJ, Zhang XP, et al. Near-infrared guided color image dehazing[C]∥2013 IEEE International Conference on Image Processing, September 15-18, 2013, Melbourne, VIC, Australia. New York: IEEE, 2013: 2363- 2367.

[11] Schechner YY, Narasimhan SG, Nayar SK. Instant dehazing of images using polarization[C]∥Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, December 8-14, 2001, Kauai, HI, USA. New York: IEEE, 2001: 325- 332.

[12] Schechner Y Y, Narasimhan S G, Nayar S K. Polarization-based vision through haze[J]. Applied Optics, 2003, 42(3): 511-525.

[13] Liang J, Ren L Y, Qu E S, et al. Method for enhancing visibility of hazy images based on polarimetric imaging[J]. Photonics Research, 2014, 2(1): 38-44.

[14] Liang J, Ren L Y, Ju H J, et al. Visibility enhancement of hazy images based on a universal polarimetric imaging method[J]. Journal of Applied Physics, 2014, 116(17): 173107.

[15] Liang J, Ren L Y, Ju H J, et al. Polarimetric dehazing method for dense haze removal based on distribution analysis of angle of polarization[J]. Optics Express, 2015, 23(20): 26146-26157.

[16] Zhang W F, Liang J, Ju H J, et al. A robust haze-removal scheme in polarimetric dehazing imaging based on automatic identification of sky region[J]. Optics & Laser Technology, 2016, 86: 145-151.

[17] Huang B J, Liu T G, Hu H F, et al. Underwater image recovery considering polarization effects of objects[J]. Optics Express, 2016, 24(9): 9826-9838.

[18] Mudge J, Virgen M. Real time polarimetric dehazing[J]. Applied Optics, 2013, 52(9): 1932-1938.

[19] Zhang W F, Liang J, Ren L Y, et al. Real-time image haze removal using an aperture-division polarimetric camera[J]. Applied Optics, 2017, 56(4): 942-947.

[20] 张肃, 战俊彤, 付强, 等. 基于多小波融合的偏振探测去雾技术[J]. 激光与光电子学进展, 2018, 55(12): 122602.

    Zhang S, Zhan J T, Fu Q, et al. Polarization detection defogging technology based on multi-wavelet fusion[J]. Laser & Optoelectronics Progress, 2018, 55(12): 122602.

[21] 杨力铭, 梁健, 张文飞, 等. 基于非偏振光照明的水下偏振成像目标增强技术[J]. 光学学报, 2018, 38(6): 0611003.

    Yang L M, Liang J, Zhang W F, et al. Underwater polarimetric imaging target enhancement technology based on unpolarized illumination[J]. Acta Optica Sinica, 2018, 38(6): 0611003.

[22] 梁健, 巨海娟, 张文飞, 等. 偏振光学成像去雾技术综述[J]. 光学学报, 2017, 37(4): 0400001.

    Liang J, Ju H J, Zhang W F, et al. Review of optical polarimetric dehazing technique[J]. Acta Optica Sinica, 2017, 37(4): 0400001.

[23] Liu F, Cao L, Shao X P, et al. Polarimetric dehazing utilizing spatial frequency segregation of images[J]. Applied Optics, 2015, 54(27): 8116-8122.

[24] Liang J, Zhang W F, Ren L Y, et al. Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion[J]. Applied Optics, 2016, 55(29): 8221-8226.

[25] Ahmed N, Natarajan T. C-[J]. Rao K R. Discrete cosine transform. IEEE Transactions on Computers, 1974, 23(1): 90-93.

[26] Naidu V P S, Elias B. A novel image fusion technique using DCT based Laplacian pyramid[J]. International Journal of Inventive Engineering and Sciences ( IJIES), 2013.

[27] Goldstein DH. Polarized light[M]. 3rd ed. Boca Raton: CRC Press, 2011.

[28] Mittal A, Soundararajan R, Bovik A C. Making a “completely blind” image quality analyzer[J]. IEEE Signal Processing Letters, 2012, 20(3): 209-212.

张文飞, 任立勇, 邢飞, 张芳, 葛筱璐, 王国梅, 付圣贵. 基于离散余弦变换金字塔分解的新型偏振光学去雾技术[J]. 激光与光电子学进展, 2020, 57(6): 061102. Wenfei Zhang, Liyong Ren, Fei Xing, Fang Zhang, Xiaolu Ge, Guomei Wang, Shenggui Fu. Novel Polarimetric Dehazing Method Using Discrete Cosine Transform Based Laplacian Pyramid[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061102.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!