Abstract
This paper presents the evaluation of two approaches widely used in the inpainting literature, applied in the context of atmospheric noise removal, such as fog, dense and sparse clouds and shadows, which often occurs in remote sensing images. One approach uses the technique of nearest neighbor interpolation for the information dissemination by a DCT-based smoothing method, and the other is based on second-order partial differential equations methods that uses the heat diffusion and thin-plate spline methods, achieving their solutions by using the finite-difference method. Finally, the evaluation uses the Kappa coefficient and the PSNR index. The metrics indicate the effectiveness of the nearest neighbor interpolation strategy, which produces higher quality images, specially when comparing the results obtained by the use of differential equations modeled by thin-plate spline.
This work was supported by Fundação de Amparo à Pesquisa do Estado do Pará, grant no. 021/2008, Desenvolvimento de um sistema de interpretação de imagens de satélite baseado em modelos híbridos.
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Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 417–424 (2000)
Buckley, M.J.: Fast computation of a discretized thin-plate smoothing spline for image data. Biometrika 81, 247–258 (1994)
Caselles, V., Haro, G., Sapiro, G., Verdera, J.: On geometric variational models for inpainting surface holes. Comput. Vis. Image Underst. 111, 351–373 (2008)
Chan, T.F., Shen, J.: Morphologically invariant pde inpaintings (2001)
Chen, F., Suter, D.: Fast multipole method for accelerating the evaluation of splines. IEEE Comput. Sci. Eng. 3, 24–31 (1998)
Criminisi, A., Pérez, P., Toyama, K.: Region filling and object removal by exemplar-based image Inpainting. IEEE Transactions on Image Processing 13, 1200–1212 (2004)
DErrico, J.: Re interpolating over nans newsgroup comp soft-sys matlab (2003)
Garcia, D.: Robust smoothing of gridded data in one and higher dimensions with missing values. Computational Statistics & Data Analysis 54(4), 1167–1178 (2010)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley Publishing Company (2008)
Hale, D.: Image-guided blended neighbor interpolation of scattered data. In: 79th Annual International Meeting, Society of Exploration Geophysicists, vol. 28, pp. 1127–1131 (2009)
Hau, C.Y., Liu, C.H., Chou, T.Y., Yang, L.S.: The efficacy of semi-automatic classification result by using different cloud detection and diminution method. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2008)
Hoan, N.T., Tateishi, R.: Cloud removal of optical image using SAR data for ALOS applications. Experimenting on simulated ALOS data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2008)
Htwe, A.N.: Image interpolation framework using non-adaptive approach and nl means. International Journal of Network and Mobile Technologies 1 (2010)
Grgic, M., Delac, K.: Handbook Of Data Compression. Springer, Heidelberg (2009)
Kwok, T., Sheung, H., Wang, C.: Fast query for exemplar-based image completion. IP 19, 3106–3115 (2010)
Liu, H., Wang, W., Bi, X.: Study of image inpainting based on learning. In: Proceedings of The International MultiConference of Engineers and Computer Scientists, pp. 1442–1445 (2010)
Maalouf, A., Carre, P., Augereau, B., Fernandez Maloigne, C.: A bandelet-based Inpainting technique for clouds removal from remotely sensed images. IEEE Transactions on Geoscience and Remote Sensing 47(7), 2363–2371 (2009)
Paragios, N., Chen, Y., Faugeras, O.: Mathematical models in computer vision: the handbook. Springer, Heidelberg (2005)
Salomon, D., Motta, G.: Handbook Of Data Compression. Springer, Heidelberg (2009)
Wahba, G.: Spline models for observational data. SIAM (1990)
Wang, Z., Zhou, F., Qi, F.: Inpainting thick image regions using isophote propagation. In: Proceedings of International Conference on Image Processing - ICIP, pp. 689–692 (2006)
Whatmough, R.: Applying generalised cross-validation to image restoration. In: 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1994, vol. 5, pp. V/453 –V/456 (1994)
You, Y.L., Kaveh, M.: Fourth-order partial differential equations for noise removal. IEEE Transactions on Image Processing 9(10), 1723–1730 (2000)
Zhang, X., Qin, F., Qin, Y.: Study on the thick cloud removal method based on multi-temporal remote sensing images. In: International Conference on Multimedia Technology (ICMT), pp. 1–3 (2010)
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Siravenha, A.C., Sousa, D., Bispo, A., Pelaes, E. (2011). Evaluating Inpainting Methods to the Satellite Images Clouds and Shadows Removing. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_7
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