A Variational Framework for Retinex
- R. Kimmel, Michael Elad, D. Shaked, R. Keshet, I. Sobel
- MathematicsInternational Journal of Computer Vision
- 1 April 2003
A variational model for the Retinex problem that unifies previous methods and shows that the illumination estimation problem can be formulated as a Quadratic Programming optimization problem.
Pruning Medial Axes
The proposed rate pruning paradigm is a framework in which it is easy to analyze, compare, and tailor new pruning methods, and is supported by simulation results of the various pruned methods.
Implementing continuous-scale morphology via curve evolution
Sharpness measure: towards automatic image enhancement
- D. Shaked, I. Tastl
- Computer ScienceIEEE International Conference on Image Processing
- 14 November 2005
It is shown that the proposed measure can be used to drive an enhancement algorithm, which will sharpen an input image to a nominal measure, and is computationally efficient, and requires fewer computations than a 3/spl times/3 convolution.
A Discriminative Approach for Wavelet Denoising
This framework enables a seamless customization of the shrinkage operation to a new set of restoration problems that were not addressed previously with shrinkage techniques, such as deblurring, JPEG artifact removal, and various types of additive noise that are not necessarily Gaussian white noise.
Deriving stopping rules for the probabilistic Hough transform by sequential analysis
It is shown that the extension suggested in this paper to Wald's one sided alternative sequential test (1947) performs better than previously available adaptive (or fixed) stopping rules.
Measuring the modulation transfer function of image capture devices: what do the numbers really mean?
This paper considers the problem of measuring the MTF of image capture devices, and examines three different approaches to this task based, respectively, on a slant-edge target, a sinewave target, and a grill pattern.
Watermarking of dither halftoned images
Analyzing a specific statistical model of input images, leads to an optimal decoding algorithm in term of the rate- distortion trade-off of dither halftone images, and characterize optimal dither matrix pairs (i.e.: dither Matrix pairs whose use results in the most favorable rate-distortion).
Space-dependent color gamut mapping: a variational approach
- R. Kimmel, D. Shaked, Michael Elad, I. Sobel
- MathematicsIEEE Transactions on Image Processing
- 1 June 2005
This paper presents a new variational approach for space-dependent gamut mapping, and starts with the presentation of a new measure for the problem, closely related to a recent measure proposed for Retinex.
Evolutions of Planar Polygons
- A. Bruckstein, G. Sapiro, D. Shaked
- Mathematics, Computer ScienceInternational journal of pattern recognition and…
- 1 December 1995
Experimental results show that an arbitrary initial polygon converges to either regular or irregular polygonal approximations of circles when evolving according to the proposed Euclidean flows.