A general framework for low level vision

@article{citeulike:527910, abstract = {We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented. We consider intensity images as surfaces in the (x,I) space. The image is, thereby, a two-dimensional (2-D) surface in three-dimensional (3-D) space for gray-level images, and 2-D surfaces in five dimensions for color images. The new formulation unifies many classical schemes and algorithms via a simple scaling of the intensity contrast, and results in new and efficient schemes. Extensions to multidimensional signals become natural and lead to powerful denoising and scale space algorithms}, author = {Sochen, N. and Kimmel, R. and Malladi, R. }, citeulike-article-id = {527910}, doi = {10.1109/83.661181}, journal = {Image Processing, IEEE Transactions on}, keywords = {mathematics}, number = {3}, pages = {310--318}, posted-at = {2008-07-01 02:17:06}, priority = {0}, title = {A general framework for low level vision}, url = {http://dx.doi.org/10.1109/83.661181}, volume = {7}, year = {1998} }

TY - JOUR ID - citeulike:527910 L3 - citeulike-article-id:527910 TI - A general framework for low level vision JF - Image Processing, IEEE Transactions on VL - 7 IS - 3 SP - 310 EP - 318 N2 - We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented. We consider intensity images as surfaces in the (x,I) space. The image is, thereby, a two-dimensional (2-D) surface in three-dimensional (3-D) space for gray-level images, and 2-D surfaces in five dimensions for color images. The new formulation unifies many classical schemes and algorithms via a simple scaling of the intensity contrast, and results in new and efficient schemes. Extensions to multidimensional signals become natural and lead to powerful denoising and scale space algorithms KW - mathematics AU - Sochen, N AU - Kimmel, R AU - Malladi, R PY - 1998/// UR - http://dx.doi.org/10.1109/83.661181 ER -