×

zbMATH — the first resource for mathematics

Enhanced variational image dehazing. (English) Zbl 1341.94004

MSC:
94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
35A15 Variational methods applied to PDEs
62H35 Image analysis in multivariate analysis
65K10 Numerical optimization and variational techniques
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] C.O. Ancuti and C. Ancuti, Single image dehazing by multi-scale fusion, IEEE Trans. Image Process., 22 (2013), pp. 3271–3282.
[2] M. Bertalmío, V. Caselles, and E. Provenzi, Issues about Retinex theory and contrast enhancement, Int. J. Comput. Vis., 83 (2009), pp. 101–119.
[3] M. Bertalmío, V. Caselles, E. Provenzi, and A. Rizzi, Perceptual color correction through variational techniques, IEEE Trans. Image Process., 16 (2007), pp. 1058–1072.
[4] P. Carr and R. Hartley, Improved single image dehazing using geometry, in Proceedings of Digital Image Computing: Techniques and Applications (DICTA ’09), IEEE Press, Piscataway, NJ, 2009, pp. 103–110.
[5] A. Chambolle and T. Pock, A first-order primal-dual algorithm for convex problems with applications to imaging, J. Math. Imaging Vis., 40 (2011), pp. 120–145. · Zbl 1255.68217
[6] J.Y. Chiang and Y. Chen, Underwater image enhancement by wavelength compensation and dehazing, IEEE Trans. Image Process., 21 (2012), pp. 1756–1769. · Zbl 1373.94091
[7] F. Fang, F. Li, and T. Zeng, Single image dehazing and denoising: A fast variational approach, SIAM J. Imaging Sci., 7 (2014), pp. 969–996. · Zbl 1299.68200
[8] R. Fattal, Single image dehazing, in Proceedings of SIGGRAPH ’08, ACM, New York, 2008, pp. 72:1–72:9.
[9] R. Fattal, Dehazing using color-lines, ACM Trans. Graphics, 34 (2014), 13.
[10] S. Ferradans, M. Bertalmío, E. Provenzi, and V. Caselles, An analysis of visual adaptation and contrast perception for tone mapping, IEEE Trans. Pattern Anal. Mach. Intell., 33 (2011), pp. 2002–2012.
[11] A. Galdran, D. Pardo, A. Picón, and A. Alvarez-Gila, Automatic red-channel underwater image restoration, J. Visual Comm. Image Rep., 26 (2015), pp. 132–145.
[12] A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmío, A variational framework for single image dehazing, in Computer Vision - ECCV 2014 Workshops (Zurich), Lecture Notes in Comput. Sci. 8927, Springer International Publishing, Switzerland, 2014, pp. 259–270.
[13] P. Getreuer, Automatic color enhancement (ACE) and its fast implementation, Image Process. On Line, 2 (2012), pp. 266–277.
[14] K.B. Gibson and T.Q. Nguyen, Fast single image fog removal using the adaptive Wiener filter, in Proceedings of the 20th IEEE International Conference on Image Processing (ICIP), 2013, pp. 714–718.
[15] N. Hautière, J.P. Tarel, and D. Aubert, Towards fog-free in-vehicle vision systems through contrast restoration, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007, pp. 1–8.
[16] K. He, J. Sun, and X. Tang, Single image haze removal using dark channel prior, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 1956–1963.
[17] K. He, J. Sun, and X. Tang, Single image haze removal using dark channel prior, IEEE Trans. Pattern Anal. Mach. Intell., 33 (2011), pp. 2341–2353.
[18] R. Kaftory, Y.Y. Schechner, and Y.Y. Zeevi, Variational distance-dependent image restoration, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007, pp. 1–8.
[19] J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, Deep photo: Model-based photograph enhancement and viewing, in Proceedings of SIGGRAPH ’08, ACM, New York, 2008, pp. 116:1–116:10.
[20] H. Koschmieder, Theorie der horizontalen Sichtweite: Kontrast und Sichtweite, Keim & Nemnich, Frankfurt, 1925.
[21] Y. Lai, Y. Chen, C. Chiou, and C. Hsu, Single-image dehazing via optimal transmission map under scene priors, IEEE Trans. Circuits Systems Video Tech., 25 (2015), pp. 1–14.
[22] J. Long, Z. Shi, W. Tang, and C. Zhang, Single remote sensing image dehazing, IEEE Geosci. Remote Sensing Lett., 11 (2014), pp. 59–63.
[23] A. Makarau, R. Richter, R. Muller, and P. Reinartz, Haze detection and removal in remotely sensed multispectral imagery, IEEE Trans. Geosci. Remote Sensing, 52 (2014), pp. 5895–5905.
[24] J.J. McCann and A. Rizzi, Veiling glare: The dynamic range limit of HDR images, Proc. SPIE, 6492 (2007), 649213.
[25] E.J. McCartney, Optics of the Atmosphere: Scattering by Molecules and Particles, Wiley, New York, 1976.
[26] G. Meng, Y. Wang, J. Duan, S. Xiang, and C. Pan, Efficient image dehazing with boundary constraint and contextual regularization, in Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 617–624.
[27] W.E.K. Middleton, Vision Through the Atmosphere, University of Toronto Press, Toronto, 1952. · Zbl 0049.42503
[28] J. Morovič, Color Gamut Mapping, Wiley, Chichester, UK, 2008.
[29] S.G. Narasimhan and S.K. Nayar, Chromatic framework for vision in bad weather, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2000, pp. 598–605.
[30] S.G. Narasimhan and S.K. Nayar, Vision and the atmosphere, Int. J. Comput. Vis., 48 (2002), pp. 233–254. · Zbl 1012.68760
[31] S.G. Narasimhan and S.K. Nayar, Contrast restoration of weather degraded images, IEEE Trans. Pattern Anal. Mach. Intell., 25 (2003), pp. 713–724.
[32] S.G. Narasimhan and S.K. Nayar, Interactive (de) weathering of an image using physical models, IEEE Workshop on Color and Photometric Methods in Computer Vision, 2003, pp. 1–8.
[33] S.K. Nayar and S.G. Narasimhan, Vision in bad weather, in Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, 1999, pp. 820–827.
[34] K. Nishino, L. Kratz, and S. Lombardi, Bayesian Defogging, Int. J. Comput. Vis., 98 (2012), pp. 263–278.
[35] R. Palma-Amestoy, E. Provenzi, M. Bertalmio, and V. Caselles, A perceptually inspired variational framework for color enhancement, IEEE Trans. Pattern Anal. Mach. Intell., 31 (2009), pp. 458–474.
[36] A. Rizzi, C. Gatta, and D. Marini, A new algorithm for unsupervised global and local color correction, Pattern Recognition Lett., 24 (2003), pp. 1663–1677.
[37] G. Sapiro and V. Caselles, Histogram modification via differential equations, J. Differential Equations, 135 (1997), pp. 238–268. · Zbl 0913.35141
[38] L. Schaul, C. Fredembach, and S. Susstrunk, Color image dehazing using the near-infrared, in Proceedings of the 16th IEEE International Conference on Image Processing (ICIP), 2009, pp. 1629–1632.
[39] Y.Y. Schechner, S.G. Narasimhan, and S.K. Nayar, Instant dehazing of images using polarization, in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 2001, pp. I-325–I-332.
[40] Y. Shiau, H. Yang, P. Chen, and Y. Chuang, Hardware implementation of a fast and efficient haze removal method, IEEE Trans. Circuits Systems Video Tech., 23 (2013), pp. 1369–1374.
[41] C. Su, L.K. Cormack, and A.C. Bovik, Color and depth priors in natural images, IEEE Trans. Image Process., 22 (2013), pp. 2259–2274. · Zbl 1373.94385
[42] R.T. Tan, Visibility in bad weather from a single image, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1–8.
[43] J.P. Tarel and N. Hautière, Fast visibility restoration from a single color or gray level image, in Proceedings of the IEEE 12th International Conference on Computer Vision, 2009, pp. 2201–2208.
[44] J.-P. Tarel, N. Hautière, L. Caraffa, A. Cord, H. Halmaoui, and D. Gruyer, Vision enhancement in homogeneous and heterogeneous fog, IEEE Intell. Transportation Syst. Mag., 4 (2012), pp. 6–20.
[45] J.-P. Tarel, N. Hautière, A. Cord, D. Gruyer, and H. Halmaoui, Improved visibility of road scene images under heterogeneous fog, in Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010, pp. 478–485.
[46] J. Vazquez-Corral and M. Bertalmío, Color stabilization along time and across shots of the same scene, for one or several cameras of unknown specifications, IEEE Trans. Image Process., 23 (2014), pp. 4564–4575. · Zbl 1374.94378
[47] J. Vazquez-Corral and M. Bertalmío, Simultaneous blind gamma estimation, IEEE Signal Process. Lett., 22 (2015), pp. 1316–1320.
[48] Y. Wang and C. Fan, Single image defogging by multiscale depth fusion, IEEE Trans. Image Process., 23 (2014), pp. 4826–4837. · Zbl 1374.94403
[49] I. Yoon, S. Kim, D. Kim, M.H. Hayes, and J. Paik, Adaptive defogging with color correction in the HSV color space for consumer surveillance system, IEEE Trans. Consumer Electronics, 58 (2012), pp. 111–116.
[50] S.W. Zamir, J. Vazquez-Corral, and M. Bertalmío, Gamut mapping in cinematography through perceptually-based contrast modification, IEEE J. Selected Topics Signal Process., 8 (2014), pp. 490–503.
[51] Y. Zhang and B. Guindon, Quantitative assessment of a haze suppression methodology for satellite imagery: Effect on land cover classification performance, IEEE Trans. Geosci. Remote Sensing, 41 (2003), pp. 1082–1089.
[52] S. Zhuo and T. Sim, Defocus map estimation from a single image, Pattern Recognition, 44 (2011), pp. 1852–1858.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.