A perceptually inspired variational method for the uneven intensity correction of remote sensing images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 8, 2012, Pages 3053-3065

  Li, Huifang ^a   Zhang, Liangpei ^a   Shen, Huanfeng ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Intensity correction; perception; remote sensing images; variational techniques

Indexed keywords

COLOR CORRECTION; DYNAMIC RANGE; GRAY WORLD ASSUMPTION; HUMAN VISUAL SYSTEM; L2-NORM; REMOTE SENSING IMAGES; RETINEX THEORY; STEEPEST DESCENT; TOTAL VARIATION; VARIATIONAL METHODS; VARIATIONAL MODELS;

ORDINARY DIFFERENTIAL EQUATIONS; REFLECTION; SENSORY PERCEPTION; VARIATIONAL TECHNIQUES;

IMAGE RECONSTRUCTION;

COLOR; CORRECTION; EXPERIMENTAL STUDY; NUMERICAL MODEL; PERCEPTION; REFLECTANCE; REMOTE SENSING; VISION;

EID: 84864284922     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2178075     Document Type: Article

References (39)

1. C. Coll, J. M. Galve, J. M. Sanchez, and V. Caselles, "Validation of Landsat-7/ETM+ thermal-band calibration and atmospheric correction with ground-based measurements," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 547-555, Jan. 2010.
2. S. R. Pudale and U. V. Bhosle, "Comparative study of relative radiometric normalization techniques for resourcesat1 LISS III sensor images," in Proc. ICCIMA, 2007, vol. 3, pp. 233-239. (Pubitemid 351424631)
3. H. Yeganeh and A. Z. A. Rezaie, "A novel approach for contrast enhancement based on histogram equalization," in Proc. Int. Conf. Comput. Commun. Eng., 2008, pp. 256-260.
4. M. Kim and M. G. Chung, "Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement," IEEE Trans. Consum. Electron., vol. 54, no. 3, pp. 1389-1397, Aug. 2008.
5. H. K. C. N. Sengee, "Brightness preserving weight clustering histogram equalization," IEEE Trans. Consum. Electron., vol. 54, no. 3, pp. 1329-1337, Aug. 2008.
6. C. Wang and Z. Ye, "Brightness preserving histogram equalization with maximum entropy: A variational perspective," IEEE Trans. Consum. Electron., vol. 51, no. 4, pp. 1326-1334, Nov. 2005. (Pubitemid 46489041)
7. S. Sarkar and G. Healey, "Hyperspectral texture synthesis using histogram and power spectral density matching," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2261-2270, May 2010.
8. H. J. Kaufman and M. A. Sid-Ahmed, "Hardware realization of a 2D IIR semisystolic filter with application to real-time homomorphic filtering," IEEE Trans. Circuits Syst. Video Technol., vol. 3, no. 1, pp. 2-14, Feb. 1993.
9. U. Nnolim and P. Lee, "Homomorphic filtering of colour images using a spatial filter Kernel in the HSI colour space," in Proc. IEEE Int. Instrum. Meas. Technol. Conf., 2008, pp. 1738-1743.
10. M. J. Seow and V. K. Asari, "Homomorphic processing system and ratio rule for color image enhancement," in Proc. IEEE Int. Joint Conf. Neural Netw., 2004, vol. 4, pp. 2507-2511.
11. M. Wang and J. Pan, "A method of removing the uneven illumination for digital aerial image," J. Image Graph., vol. 9, no. 6, pp. 744-748, 2004.
12. E. H. Land and J. J.McCann, "Lightness and Retinex theory," J. Opt. Soc. Amer., vol. 61, no. 1, pp. 1-11, Jan. 1971.
13. E. H. Land, "The Retinex theory of color vision," Sci. Amer., vol. 237, no. 6, pp. 108-128, Dec. 1977.
14. D. Marini and A. Rizzi, "A computational approach to color adaptation effects," Image Vis. Comput., vol. 18, no. 13, pp. 1005-1014, Oct. 2000.
15. T. J. Cooper and F. A. Baqai, "Analysis and extensions of the Frankle-McCann Retinex algorithm," J. Electron. Imag., vol. 13, no. 1, pp. 85-92, Jan. 2004.
16. D. J. Jobson, Z.-U. Rahman, and G. A. Woodell, "Properties and performance of a center/surround Retinex," IEEE Trans. Image Process., vol. 6, no. 3, pp. 451-462, Mar. 1997. (Pubitemid 127768376)
17. D. J. Jobson, Z.-U. Rahman, and G. A. Woodell, "A multiscale Retinex for bridging the gap between color images and the human observation of scenes," IEEE Trans. Image Process., vol. 6, no. 7, pp. 965-976, Jul. 1997. (Pubitemid 127772284)
18. R. Kimmel, M. Elad, D. Shaked, K. Keshet, and I. Sobel, "A variational framework for Retinex," Int. J. Comput. Vis., vol. 52, no. 1, pp. 7-23, Apr. 2003.
19. E. Provenzi, M. Fierro, A. Rizzi, L. D. Carli, D. Gadia, and D. Marini, "Random spray Retinex: A new Retinex implementation to investigate the local properties of the model," IEEE Trans. Image Process., vol. 16, no. 1, pp. 162-171, Jan. 2007. (Pubitemid 46437479)
20. T. F. Chan and J. Shen, Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods. Philadelphia, PA: Soc. Ind. Math., 2005.
21. Y. Wang, R. Niu, L. Zhang, and H. Shen, "Region-based adaptive anisotropic diffusion for image enhancement and denoising," Opt. Eng., vol. 49, no. 11, pp. 117 007-1-117 007-19, Nov. 2010.
22. Q. Yuan, L. Zhang, H. Shen, and P. Li, "Adaptive multiple-frame image super-resolution based on U-curve," IEEE Trans. Image Process., vol. 19, no. 12, pp. 3157-3170, Dec. 2010.
23. M. Bertalmio, V. Caselles, E. Provenzi, and A. Rizzi, "Perceptual color correction through variational techniques," IEEE Trans. Image Process., vol. 16, no. 4, pp. 1058-1072, Apr. 2007. (Pubitemid 46542393)
24. R. Palma-Amestoy, E. Provenzi, M. Bertalmio, and V. Caselles, "A perceptually inspired variational framework for color enhancement," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 3, pp. 458-474, Mar. 2009.
25. M. Bertalmio, V. Caselles, and E. Provenzi, "Issues about Retinex theory and contrast enhancement," Int. J. Comput. Vis., vol. 83, no. 1, pp. 101-119, Jun. 2009.
26. A. Rizzi, C. Gatta, and D. Marini, "A new algorithm for unsupervised global and local color correction," Pattern Recognit. Lett., vol. 24, no. 11, pp. 1663-1677, Jul. 2003. (Pubitemid 36386781)
27. A. Rizzi, "From Retinex to automatic color equalization: Issues in developing a new algorithm for unsupervised color equalization," J. Electron. Imag., vol. 13, no. 1, pp. 75-84, Jan. 2004.
28. E. Provenzi, C. Gatta, M. Fierro, and A. Rizzi, "A spatially variant whitepatch and gray-world method for color image enhancement driven by local contrast," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 10, pp. 1757-1770, Oct. 2008.
29. E. Provenzi, L. D. Carli, and A. Rizzi, "Mathematical definition and analysis of the Retinex algorithm," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 22, no. 12, pp. 2613-2621, Dec. 2005. (Pubitemid 43104076)
30. B. K. P. Horn, "Determining lightness from an image," Comput. Vis. Graph., vol. 3, no. 4, pp. 277-299, Dec. 1974.
31. A. Blake, "Boundary conditions for lightness computation in Mondrian world," Comput. Vis. Graph., vol. 32, no. 3, pp. 314-327, Dec. 1985. (Pubitemid 16459911)
32. M. K. Ng, H. Shen, L. Zhang, and E. Lam, "A total variation based superresolution reconstruction algorithm for digital video," EURASIP J. Adv. Signal Process., vol. 2007, 2007, Article ID 74585.
33. H. Shen, L. Zhang, B. Huang, and P. Li, "A MAP approach for joint motion estimation, segmentation, and super resolution," IEEE Trans. Image Process., vol. 16, no. 2, pp. 479-490, Feb. 2007. (Pubitemid 46421688)
34. S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, "Fast and robust multiframe super resolution," IEEE Trans. Image Process., vol. 13, no. 10, pp. 1327-1344, Oct. 2004.
35. H. Fu, M. K. Ng, M. Nikolova, and J. L. Barlow, "Efficient minimization methods of mixed L2-L1 and L1-L1 norms for image restoration," SIAM J. Sci. Comput., vol. 27, no. 6, pp. 1881-1902, 2006. (Pubitemid 44784221)
36. B. Du and L. Zhang, "Random selection based anomaly detector for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1578-1589, May 2011.
37. L. I. Rudin, S. Osher, and E. Fastemi, "Nonlinear total variation based noise removal algorithms," Phys. D, vol. 60, pp. 259-268, 1992.
38. L. Zhang, Q. Yuan, H. Shen, and P. Li, "Muti-frame image superresolution adapted with local spatial information," J. Opt. Soc. Amer., vol. 28, no. 3, pp. 381-390, Mar. 2011.
39. M. K. Ng, H. Shen, S. Chaudhuri, and A. C. Yau, "Zoom-based superresolution reconstruction approach using prior total variation," Opt. Eng., vol. 46, no. 12, p. 127 003, Dec. 2007.