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ECCV
1998
Springer
15 years 11 months ago
Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint
Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarit...
Yi Ma, Jana Kosecka, Shankar Sastry
ICIP
2010
IEEE
14 years 7 months ago
Learning denoising bounds for noisy images
In [1], we derived an expression for the fundamental limit to image denoising assuming that the noise-free image is available. In this paper, we propose an estimator for the bound...
Priyam Chatterjee, Peyman Milanfar
ICIP
2000
IEEE
15 years 11 months ago
The Iterative Deconvolution of Linearly Blurred Images Using Non-Parametric Stabilizing Functions
An iterative solution to the problem of image deconvolution is presented. The previous image estimate is pre-filtered using a stabilizing function that is updated based on current...
James R. Hare, James P. Reilly
IGARSS
2010
14 years 7 months ago
A filtering approach to improve deformation accuracy using large baseline, low coherence DInSAR phase images
Phase noise in an interferogram hinders the accuracy and reliability of interferometric synthetic aperture radar (InSAR) measurements, including deformation estimation and topogra...
Abduwasit Ghulam, Reda Amer, Robert Ripperdan
ICIP
2009
IEEE
15 years 10 months ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...