Image Processing Reference
In-Depth Information
112. Melas, D., Wilson, S.: Double Markov random fields and Bayesian image segmentation. IEEE
Trans. Signal Process. 50 (2), 357-365 (2002)
113. Mertens, T., Kautz, J., Van Reeth, F.: Exposure fusion. In: Proceedings of Pacific Conference
on Computer Graphics and Applications, pp. 382-390, Hawaii, USA (2007)
114. Miao, Q., Wang, B.: A novel image fusion method using contourlet transform. In: Proceedings
of International Conference on Communications, Circuits and Systems, vol. 1, pp. 548-552,
Guilin, China (2006)
115. Mignotte, M.: A multiresolution Markovian fusion model for the color visualization of hy-
perspectral images. IEEE Trans. Geosci. Remote Sens. 48 (12), 4236-4247 (2010)
116. Mitianoudis, N., Stathaki, T.: Pixel-based and region-based image fusion schemes using ICA
bases. Inf. Fusion 8 (2), 131-142 (2007)
117. Mitri, G., Gitas, I.: Mapping postfire vegetation recovery using EO-1 Hyperion imagery. IEEE
Trans. Geosci. Remote Sens. 48 (3), 1613-1618 (2010)
118. Moeller, M., Wittman, T., Bertozzi, A.L.: A variational approach to hyperspectral image
fusion. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series,
Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 7334
(2009)
119. Moghaddam, B., Jebara, T., Pentland, A.: Bayesian face recognition. Pattern Recogn. 33 (11),
1771-1782 (2000)
120. Murray, D.W., Kashko, A., Buxton, H.: Aparallel approach to the picture restoration algorithm
of Geman and Geman on an SIMD machine. Image Vis. Comput. 4 (3), 133-142 (1986)
121. Nolin, A., Dozier, J.: A hyperspectral method for remotely sensing the grain size of snow.
Remote Sens. Environ. 74 (2), 207-216 (2000)
122. Osher, S., Sole, A., Vese, L.: Image decomposition and restoration using total variation min-
imization and the H sup 1. Multiscale Model. Simul. 1 (3), 349-370 (2003)
123. van Ouwerkerk, J.D.: Image super-resolution survey. Image. Vis. Comput. 24 (10), 1039-1052
(2006)
124. Pajares, G., Manuel, J.: A wavelet-based image fusion tutorial. Pattern Recogn. 37 (9), 1855-
1872 (2004)
125. Paolo, N.: Variational approach to optical flow estimation managing discontinuities. Image
Vis. Comput. 11 (7), 419-439 (1993)
126. Paris, S., Durand, F.: A fast approximation of the bilateral filter using a signal processing
approach. In: Proceedings of the European Conference on Computer Vision, pp. 568-580,
Graz, Austria (2006)
127. Park, S., Park, M., Kang, M.G.: Super-resolution image reconstruction: a technical overview.
IEEE Signal Process. Mag. 20 (3), 21-36 (2003)
128. Peli, E.: Contrast in complex images. J. Opt. Soc. Am. 7 (10), 2032-2040 (1990)
129. Peng, G., Ruiliang, P., Biging, G., Larrieu, M.: Estimation of forest leaf area index using
vegetation indices derived from hyperion hyperspectral data. IEEE Trans. Geosci. Remote
Sens. 41 (6), 1355-1362 (2003)
130. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans.
Pattern Anal. Mach. Intell. 12 (7), 629-639 (1990)
131. Petrovic, V., Xydeas, C.: Multiresolution image fusion using cross band feature selection.
Proc. SPIE 3719 , 319-326 (1999)
132. Petrovic, V., Xydeas, C.: Gradient-based multiresolution image fusion. IEEE Trans. Image
Process. 13 (2), 228-237 (2004)
133. Petschnigg, G., Szeliski, R., Agrawala,M., Cohen,M., Hoppe, H., Toyama, K.: Digital photog-
raphy with flash and no-flash image pairs. In: ACM SIGGRAPH, pp. 664-672, Los Angeles,
California (2004)
134. Pham, T.Q., van Vliet, L.J.: Separable bilateral filtering for fast video preprocessing. In:
Proceedings of IEEE International Conference onMultimedia and Expo, pp. 1-4, Amsterdam,
The Netherlands (2005)
135. Piella, G.: A region-based multiresolution image fusion algorithm. In: Proceedings of Inter-
national Conference on Information Fusion, vol. 2, pp. 1557-1564, Washington DC, USA
(2002)
Search WWH ::




Custom Search