[1] Shao L, Liu L, Li X L. Feature learning for image classification via multiobjective genetic programming[J]. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(7): 1359–1371.
Shao L, Liu L, Li X L. Feature learning for image classification via multiobjective genetic programming[J]. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(7): 1359–1371.
[2] Crebolder J M, Sloan R B. Determining the effects of eyewear fogging on visual task performance[J]. Applied Ergonomics, 2004, 35(4): 371–381.
Crebolder J M, Sloan R B. Determining the effects of eyewear fogging on visual task performance[J]. Applied Ergonomics, 2004, 35(4): 371–381.
[4] Zhu F, Shao L. Weakly-supervised cross-domain dictionary learning for visual recognition[J]. International Journal of Com-puter Vision, 2014, 109(1–2): 42–59.
Zhu F, Shao L. Weakly-supervised cross-domain dictionary learning for visual recognition[J]. International Journal of Com-puter Vision, 2014, 109(1–2): 42–59.
[5] Zhang Z, Tao D C. Slow feature analysis for human action rec-ognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(3): 436–450.
Zhang Z, Tao D C. Slow feature analysis for human action rec-ognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(3): 436–450.
[6] Wang L J, Zhu R. Image defogging algorithm of single color image based on wavelet transform and histogram equalization[J]. Applied Mathematical Sciences, 2013, 7(79): 3913–3921.
Wang L J, Zhu R. Image defogging algorithm of single color image based on wavelet transform and histogram equalization[J]. Applied Mathematical Sciences, 2013, 7(79): 3913–3921.
[7] Shen H F, Li H F, Qian Y, et al. An effective thin cloud removal procedure for visible remote sensing images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 96: 224–235.
Shen H F, Li H F, Qian Y, et al. An effective thin cloud removal procedure for visible remote sensing images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 96: 224–235.
[8] Pei S C, Lee T Y. Nighttime haze removal using color transfer pre-processing and Dark Channel Prior[C]//Proceedings of the 2012 19th IEEE International Conference on Image Processing, Orlando, FL, USA, 2012.
Pei S C, Lee T Y. Nighttime haze removal using color transfer pre-processing and Dark Channel Prior[C]//Proceedings of the 2012 19th IEEE International Conference on Image Processing, Orlando, FL, USA, 2012.
[9] Zhu Q S, Yang S, Heng P A, et al. An adaptive and effective single image dehazing algorithm based on dark channel prior[C]//Proceedings of 2013 IEEE International Conference on Robotics and Biomimetics, Shenzhen, China, 2013.
Zhu Q S, Yang S, Heng P A, et al. An adaptive and effective single image dehazing algorithm based on dark channel prior[C]//Proceedings of 2013 IEEE International Conference on Robotics and Biomimetics, Shenzhen, China, 2013.
[10] Oakley J P, Satherley B L. Improving image quality in poor visi-bility conditions using a physical model for contrast degrada-tion[J]. IEEE Transactions on Image Processing, 1988, 7(2): 167–169.
Oakley J P, Satherley B L. Improving image quality in poor visi-bility conditions using a physical model for contrast degrada-tion[J]. IEEE Transactions on Image Processing, 1988, 7(2): 167–169.
[11] Berman D, Treibitz T, Avidan S. Non-local image dehaz-ing[C]//Proceedings of 2016 IEEE Conference on Computer Vi-sion and Pattern Recognition, Las Vegas, NV, USA, 2016: 1674–1682.
Berman D, Treibitz T, Avidan S. Non-local image dehaz-ing[C]//Proceedings of 2016 IEEE Conference on Computer Vi-sion and Pattern Recognition, Las Vegas, NV, USA, 2016: 1674–1682.
[12] Meng G F, Wang Y, Duan J Y, et al. Efficient image dehazing with boundary constraint and contextual regulariza-tion[C]//Proceedings of 2013 IEEE International Conference on Computer Vision, Sydney, NSW, Australia, 2013.
Meng G F, Wang Y, Duan J Y, et al. Efficient image dehazing with boundary constraint and contextual regulariza-tion[C]//Proceedings of 2013 IEEE International Conference on Computer Vision, Sydney, NSW, Australia, 2013.
[13] Zhu Q S, Mai J M, Shao L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522–3533.
Zhu Q S, Mai J M, Shao L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522–3533.
[14] 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.
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.
[15] Tarel J P, Hautière N. Fast visibility restoration from a single color or gray level image[C]//Proceedings of the 2009 IEEE 12th International Conference on Computer Vision, Kyoto, Japan, 2009.
Tarel J P, Hautière N. Fast visibility restoration from a single color or gray level image[C]//Proceedings of the 2009 IEEE 12th International Conference on Computer Vision, Kyoto, Japan, 2009.
[16] Cai B L, Xu X M, Jia K, et al. DehazeNet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing, 2016, 25(11): 5187–5198.
Cai B L, Xu X M, Jia K, et al. DehazeNet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing, 2016, 25(11): 5187–5198.
[17] Zhu Y Y, Tang G Y, Zhang X Y, et al. Haze removal method for natural restoration of images with sky[J]. Neurocomputing, 2018, 275: 499–510.
Zhu Y Y, Tang G Y, Zhang X Y, et al. Haze removal method for natural restoration of images with sky[J]. Neurocomputing, 2018, 275: 499–510.
[18] Schechner Y Y, Narasimhan S G, Nayar S K. Polarization-based vision through haze[J]. Applied Optics, 2003, 42(3): 511–525.
Schechner Y Y, Narasimhan S G, Nayar S K. Polarization-based vision through haze[J]. Applied Optics, 2003, 42(3): 511–525.
[19] Raikwar S C, Tapaswi S. An improved linear depth model for single image fog removal[J]. Multimedia Tools and Applications, 2018, 77(15): 19719–19744.
Raikwar S C, Tapaswi S. An improved linear depth model for single image fog removal[J]. Multimedia Tools and Applications, 2018, 77(15): 19719–19744.
[20] Ng R, Levoy M, Brédif M, et al. Light field photography with a hand-held plenoptic camera[J]. Computer Science Technical
Ng R, Levoy M, Brédif M, et al. Light field photography with a hand-held plenoptic camera[J]. Computer Science Technical
Report CSTR, 2005, 2(11): 1–11.
Report CSTR, 2005, 2(11): 1–11.
[21] Tao M W, Srinivasan P P, Malik J, et al. Depth from shading, defocus, and correspondence using light-field angular cohe-rence[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, USA, 2015.
Tao M W, Srinivasan P P, Malik J, et al. Depth from shading, defocus, and correspondence using light-field angular cohe-rence[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, USA, 2015.
[22] Raj A S, Lowney M, Shah R. Light-field database creation and depth estimation[R]. Palo Alto, USA: Stanford University, 2016.
Raj A S, Lowney M, Shah R. Light-field database creation and depth estimation[R]. Palo Alto, USA: Stanford University, 2016.
[23] Wang T C, Efros A A, Ramamoorthi R. Occlusion-aware depth estimation using light-field cameras[C]//Proceedings of 2015 IEEE International Conference on Computer Vision, Santiago, Chile, 2015.
Wang T C, Efros A A, Ramamoorthi R. Occlusion-aware depth estimation using light-field cameras[C]//Proceedings of 2015 IEEE International Conference on Computer Vision, Santiago, Chile, 2015.
[24] Williem W, Park I K. Robust light field depth estimation for noisy scene with occlusion[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, 2016: 4396–4404.
Williem W, Park I K. Robust light field depth estimation for noisy scene with occlusion[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, 2016: 4396–4404.
[25] Wang M, Zhou S D, Huang F, et al. The study of color image defogging based on wavelet transform and single scale reti-nex[J]. Proceedings of SPIE, 2011, 8194: 81940F.
Wang M, Zhou S D, Huang F, et al. The study of color image defogging based on wavelet transform and single scale reti-nex[J]. Proceedings of SPIE, 2011, 8194: 81940F.
[26] Ramya C, Rani D S. Contrast enhancement for fog degraded video sequences using BPDFHE[J]. International Journal of Computer Science and Information Technologies, 2012, 3(2): 3463–3468.
Ramya C, Rani D S. Contrast enhancement for fog degraded video sequences using BPDFHE[J]. International Journal of Computer Science and Information Technologies, 2012, 3(2): 3463–3468.
[27] Xu Z Y, Liu X M, Chen X N. Fog removal from video sequences using contrast limited adaptive histogram equaliza-tion[C]//Proceedings of 2009 International Computational Intel-ligence and Software Engineering, Wuhan, China, 2009.
Xu Z Y, Liu X M, Chen X N. Fog removal from video sequences using contrast limited adaptive histogram equaliza-tion[C]//Proceedings of 2009 International Computational Intel-ligence and Software Engineering, Wuhan, China, 2009.
[28] Howard J N. Book Reviews: Scattering Phenomena[J]. Science, 1977, 196(4294): 1084–1085.
Howard J N. Book Reviews: Scattering Phenomena[J]. Science, 1977, 196(4294): 1084–1085.
[29] Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(6): 713–724.
Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(6): 713–724.
[30] Narasimhan S G, Nayar S K. Vision and the atmosphere[J]. International Journal of Computer Vision, 2002, 48(3): 233–254.
Narasimhan S G, Nayar S K. Vision and the atmosphere[J]. International Journal of Computer Vision, 2002, 48(3): 233–254.
[32] Sun J, Shum H Y, Zheng N N. Stereo matching using belief propagation[C]//Proceedings of the 7th European Conference on Computer Vision, Denmark, 2002: 510–524.
Sun J, Shum H Y, Zheng N N. Stereo matching using belief propagation[C]//Proceedings of the 7th European Conference on Computer Vision, Denmark, 2002: 510–524.
[33] Hu X Y, Mordohai P. A quantitative evaluation of confidence measures for stereo vision[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2121–2133.
Hu X Y, Mordohai P. A quantitative evaluation of confidence measures for stereo vision[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2121–2133.
[34] Tan R T. Visibility in bad weather from a single im-age[C]//Proceedings of 2008 IEEE Conference on Computer Vi-sion and Pattern Recognition, Anchorage, AK, USA, 2008.
Tan R T. Visibility in bad weather from a single im-age[C]//Proceedings of 2008 IEEE Conference on Computer Vi-sion and Pattern Recognition, Anchorage, AK, USA, 2008.
[35] Tang K, Yang J C, Wang J. Investigating haze-relevant features in a learning framework for image dehazing[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Rec-ognition, Columbus, OH, USA, 2014.
Tang K, Yang J C, Wang J. Investigating haze-relevant features in a learning framework for image dehazing[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Rec-ognition, Columbus, OH, USA, 2014.
[36] Ying Z Q, Li G, Gao W. A bio-inspired multi-exposure fusion framework for low-light image enhancement[Z]. ar-Xiv:1711.00591[cs], 2017.
Ying Z Q, Li G, Gao W. A bio-inspired multi-exposure fusion framework for low-light image enhancement[Z]. ar-Xiv:1711.00591[cs], 2017.