Abstract
Illumination correction is a method aiming at removing the influence of light from the environment and other distorting factors in the image capture process. A novel algorithm based on luminance mapping is proposed that both removes the low frequency variations in intensity as well as increases the contrast in low contrast areas. Moreover, it avoids the common problems with homomorphic filters. This algorithm is being applied on historical aerial photos with good results.
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Agus, O., Ozkan, M., Aydin, K.: Elimination of RF Inhomogeneity Effects in Segmentation. In: Proceedings of the 29th Annual International Conference of the IEEE EMBS, pp. 2081–2084 (2007)
Ardizzone, E., Pirrone, R., La Bua, S., Gambino, O.: Volumetric Bias Correction. In: Gagalowicz, A., Philips, W. (eds.) MIRAGE 2007. LNCS, vol. 4418, pp. 525–533. Springer, Heidelberg (2007)
Ashiba, H.I., Awadalla, K.H., El-Halfawy, S.M., Abd El-Samie, F.E.-S.: Homomorphic enhancement of infrared images using the additive wavelet transform. Progress In Electromagnetics Research C 1, 123–130 (2008)
Burt, P.J., Adelson, E.H.: A multiresolution spline with application to image mosaics. Journal ACM Transactions on Graphics (TOG) 2(4) (1983)
ERDAS Field Guide, p. 525 (2010), http://www.erdas.com/Libraries/Tech_Docs/ERDAS_Field_Guide.sflb.ashx
Fahnestock, J.D., Schowengerdt, R.A.: Spatially variant contrast enhancement using local range modification. Optical Engineering 22, 378–381 (1983)
Goldman, D.B., Chen, J.H.: Vignette and Exposure Calibration and Compensation. In: Proceedings of ICCV 2005, pp. 89–906 (2005)
Hertzmann, A., Jacobs, C.E., Oliver, N., Curless, B., Salesin, D.H.: Image Analogies. In: SIGGRAPH 2001 Conference Proceedings, pp. 327–340 (2001)
Ko, J., Kim, E.-J., Byun, H.: A simple illumination normalization algorithm for face recognition. In: Ishizuka, M., Sattar, A. (eds.) PRICAI 2002. LNCS (LNAI), vol. 2417, pp. 532–541. Springer, Heidelberg (2002)
Laine, A., Fan, J., Yang, W.: Wavelets for contrast enhancement of digital mammography. IEEE Engineering in Medicine and Biology Magazine 14(5), 536–550 (1995)
Leong, F.J.W.-M., Brady, M., O’D McGee, J.: Correction of uneven illumination (vignetting) in digital microscopy images. J. Clin. Pathol., 619–621 (2003)
Levin, A., Zomet, A., Peleg, S., Weiss, Y.: Seamless image stitching in the gradient domain. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 377–389. Springer, Heidelberg (2004)
Oppenheim, A., Schafer, R., Stockham Jr., T.: Nonlinear filtering of multiplied and convolved signals. IEEE Transactions on Audio and Electroacoustics 16(3), 437–466 (1968)
Pajares, G., Ruz, J.J., de la Cruz, J.M.: Performance analysis of homomorphic systems for image change detection. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3522, pp. 563–570. Springer, Heidelberg (2005)
Pérez, P., Gangnet, M., Blake, A.: Poisson Image Editing, Journal ACM Transactions on Graphics (TOG). In: Proceedings of ACM SIGGRAPH, vol. 22(3), pp. 313–318 (2003)
Pizer, S.M., Amburn, E.P., Austin, J.D., Cromartie, R., Geselowitz, A., Greer, T., Romeny, B.T.H., Zimmerman, J.B., Zuiderveld, K.: Adaptive histogram equalization and its variations. In: Computer Vision, Graphics, and Image Processing, vol. 39(3), pp. 355–368 (September 3, 1987)
Puff, D.T., Pisano, E.D., Muller, K.E., Johnston, R.E., Hemminger, B.M., Burbeck, C.A., McLelland, R., Pizer, S.M.: A Method for Determination of Optimal Image Enhancement for the Detection of Mammographic Abnormalities. Journal of Digital Imaging 7(4), 161–171 (1994)
Reeves, T.H., Jernigan, M.E.: Multiscale-based image enhancement. In: IEEE Canadian Conference on Electrical and Computer Engineering, Issue Date: 25-28, vol. 2, pp. 500–503 (1997)
Rocchini, D., Di Rita, A.: Relief effects on aerial photos geometric correction. Applied Geography 25, 159–168 (2005)
Tzelepis, N., Nakos, B.: A Study on the Lighting Factors affecting Relief Presentation. In: Proceedings of the 21st International Cartographic Conference (ICC), pp. 1343–1350 (2003)
Vrhel, M.J., Trussell, H.J.: Filter considerations in color correction. IEEE Trans. Image Processing 3, 147–161 (1994)
Yoon, J.H., Ro, Y.M.: Enhancement of the Contrast in Mammographic Images, using the Homomorphic Filter Method. Inf. & Syst. Letter E85–D(1), 298–303 (2002)
Young, I.T.: Shading Correction: Compensation for Illumination and Sensor Inhomogeneities. Current Protocols in Cytometry, 1–12 (2000)
Yu, W.: Practical anti-vignetting methods for digital cameras. IEEE Trans. on Cons. Elect. 50, 975–983 (2004)
Guo, Y., Zhang, X., Zhan, H., Song, J.: A novel illumination normalization method for face recognition. In: Li, S.Z., Sun, Z., Tan, T., Pankanti, S., Chollet, G., Zhang, D. (eds.) IWBRS 2005. LNCS, vol. 3781, pp. 23–30. Springer, Heidelberg (2005)
Zheng, Y., Lin, S., Kang, S.B.: Single-Image Vignetting Correction. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 461–468 (2006)
Zhu, J., Liu, B., Schwartz, S.C.: General illumination correction and its application to face normalization. In: Proceeding of ICASSP, pp. 133–136 (2003)
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Hast, A., Marchetti, A. (2011). Retrospective Illumination Correction of Greyscale Historical Aerial Photos. In: Maino, G., Foresti, G.L. (eds) Image Analysis and Processing – ICIAP 2011. ICIAP 2011. Lecture Notes in Computer Science, vol 6979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24088-1_29
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