From high energy physics to low level vision

Ron Kimmel; Nir Sochen; Ravi Malladi

doi:10.1007/3-540-63167-4_18

From high energy physics to low level vision

Ron Kimmel, Nir Sochen, Ravi Malladi

School of Mathematical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x, I) space. The image is thereby a 2D surface in 3D space for gray level images, and a 2D surface in 5D 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 multi dimensional signals become natural and lead to powerful denoising and scale space algorithms. Here, we demonstrate the proposed framework by applying it to denoise and improve gray level and color images.

Original language	English
Title of host publication	Scale-Space Theory in Computer Vision - 1st International Conference, Scale-Space 1997, Proceedings
Editors	Bart ter Haar Romeny, Max Viergever, Luc Florack, Jan Koenderink
Publisher	Springer Verlag
Pages	236-246
Number of pages	11
ISBN (Print)	3540631674, 9783540631675
DOIs	https://doi.org/10.1007/3-540-63167-4_18
State	Published - 1997
Event	1st International Conference on Scale-Space Theory in Computer Vision, Scale-Space 1997 - Utrecht, Netherlands Duration: 2 Jul 1997 → 4 Jul 1997

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1252
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Scale-Space Theory in Computer Vision, Scale-Space 1997
Country/Territory	Netherlands
City	Utrecht
Period	2/07/97 → 4/07/97

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10.1007/3-540-63167-4_18

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Kimmel, R., Sochen, N., & Malladi, R. (1997). From high energy physics to low level vision. In B. ter Haar Romeny, M. Viergever, L. Florack, & J. Koenderink (Eds.), Scale-Space Theory in Computer Vision - 1st International Conference, Scale-Space 1997, Proceedings (pp. 236-246). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1252). Springer Verlag. https://doi.org/10.1007/3-540-63167-4_18

Kimmel, Ron ; Sochen, Nir ; Malladi, Ravi. / From high energy physics to low level vision. Scale-Space Theory in Computer Vision - 1st International Conference, Scale-Space 1997, Proceedings. editor / Bart ter Haar Romeny ; Max Viergever ; Luc Florack ; Jan Koenderink. Springer Verlag, 1997. pp. 236-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Ron Kimmel and Nir Sochen and Ravi Malladi",

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Kimmel, R, Sochen, N & Malladi, R 1997, From high energy physics to low level vision. in B ter Haar Romeny, M Viergever, L Florack & J Koenderink (eds), Scale-Space Theory in Computer Vision - 1st International Conference, Scale-Space 1997, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1252, Springer Verlag, pp. 236-246, 1st International Conference on Scale-Space Theory in Computer Vision, Scale-Space 1997, Utrecht, Netherlands, 2/07/97. https://doi.org/10.1007/3-540-63167-4_18

From high energy physics to low level vision. / Kimmel, Ron; Sochen, Nir; Malladi, Ravi.
Scale-Space Theory in Computer Vision - 1st International Conference, Scale-Space 1997, Proceedings. ed. / Bart ter Haar Romeny; Max Viergever; Luc Florack; Jan Koenderink. Springer Verlag, 1997. p. 236-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1252).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kimmel R, Sochen N, Malladi R. From high energy physics to low level vision. In ter Haar Romeny B, Viergever M, Florack L, Koenderink J, editors, Scale-Space Theory in Computer Vision - 1st International Conference, Scale-Space 1997, Proceedings. Springer Verlag. 1997. p. 236-246. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-63167-4_18

From high energy physics to low level vision

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