Fast bilateral filtering for the display of high-dynamic-range images
暂无分享,去创建一个
[1] Michael Elad,et al. On the origin of the bilateral filter and ways to improve it , 2002, IEEE Trans. Image Process..
[2] Zia-ur Rahman,et al. A multiscale retinex for bridging the gap between color images and the human observation of scenes , 1997, IEEE Trans. Image Process..
[3] Guillermo Sapiro,et al. Robust anisotropic diffusion , 1998, IEEE Trans. Image Process..
[4] Jessica K. Hodgins,et al. Two methods for display of high contrast images , 1999, TOGS.
[5] Werner A. Stahel,et al. Robust Statistics: The Approach Based on Influence Functions , 1987 .
[6] Frédo Durand,et al. A gentle introduction to bilateral filtering and its applications , 2007, SIGGRAPH Courses.
[7] Danny Barash,et al. A Fundamental Relationship between Bilateral Filtering, Adaptive Smoothing, and the Nonlinear Diffusion Equation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Paul E. Debevec,et al. Real-Time High Dynamic Range Texture Mapping , 2001, Rendering Techniques.
[9] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Donald P. Greenberg,et al. A multiscale model of adaptation and spatial vision for realistic image display , 1998, SIGGRAPH.
[11] Greg Turk,et al. LCIS: a boundary hierarchy for detail-preserving contrast reduction , 1999, SIGGRAPH.
[12] B. C. Madden,et al. Extended Intensity Range Imaging , 1993 .
[13] Holly E. Rushmeier,et al. Energy preserving non-linear filters , 1994, SIGGRAPH.
[14] Holly E. Rushmeier,et al. Tone reproduction for realistic images , 1993, IEEE Computer Graphics and Applications.
[15] Philippe Saint-Marc,et al. Adaptive Smoothing: A General Tool for Early Vision , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[16] S. Nayar,et al. Generalized mosaicing , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[17] Christophe Schlick,et al. Quantization Techniques for Visualization of High Dynamic Range Pictures , 1995 .
[18] Shree K. Nayar,et al. High dynamic range imaging: spatially varying pixel exposures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[19] Kenneth Chiu,et al. Spatially Nonuniform Scaling Functions for High Contrast Images , 1993 .
[20] Christine D. Piatko,et al. A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes , 1997, IEEE Trans. Vis. Comput. Graph..
[21] Michael D. McCool,et al. Anisotropic diffusion for Monte Carlo noise reduction , 1999, TOGS.
[22] H. Barrow,et al. RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES , 1978 .
[23] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[24] Keiichi Koike,et al. A 557-mW, 2.5-Gbit/s SONET/SDH regenerator-section terminating LSI chip using low-power bipolar-LSI design , 1999, IEEE J. Solid State Circuits.
[25] Mark Meyer,et al. Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data , 2000, Graphics Interface.
[26] Gregory J. Ward,et al. The RADIANCE lighting simulation and rendering system , 1994, SIGGRAPH.
[27] Brian A. Wandell,et al. Rendering high dynamic range images , 2000, Electronic Imaging.
[28] Greg Turk,et al. Three methods of detail-preserving contrast reduction for displayed images , 1999 .
[29] Frédo Durand,et al. An invitation to discuss computer depiction , 2002, NPAR '02.
[30] A. El Gamal,et al. A 640/spl times/512 CMOS image sensor with ultra wide dynamic range floating-point pixel-level ADC , 1999, 1999 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC. First Edition (Cat. No.99CH36278).