#### Filter Results:

- Full text PDF available (15)

#### Publication Year

2006

2017

- This year (4)
- Last 5 years (12)
- Last 10 years (29)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Jeff Orchard, Mehran Ebrahimi, Alexander Wong
- 2008 15th IEEE International Conference on Image…
- 2008

Nonlocal-means (NL-means) is an image denoising method that replaces each pixel by a weighted average of all the pixels in the image. Unfortunately, the method requires the computation of the weighting terms for all possible pairs of pixels, making it computationally expensive. Some short-cuts assign a weight of zero to any pixel pairs whose neighbourhood… (More)

- Mehran Ebrahimi, Edward R. Vrscay
- ICIAR
- 2007

In this paper we present a novel single-frame image zooming technique based on so-called “self-examples”. Our method combines the ideas of fractal-based image zooming, example-based zooming, and nonlocal-means image denoising in a consistent and improved framework. In Bayesian terms, this example-based zooming technique targets the MMSE estimate by learning… (More)

- Mehran Ebrahimi, Edward R. Vrscay
- IPCV
- 2008

We introduce a novel super-resolution scheme for multi-frame image sequences. Our method is closely associated with the recently developed “non-local-means denoising filter”. In the proposed algorithm, no explicit motion estimation is performed, unlike in many other methods. Our results are comparable, if not superior, to many existing approaches,… (More)

The method of nonlocal-means is a powerful method for image denoising, but comes with a heavy computational price. The computation can be accelerated using the Fast Fourier Transform (FFT), yielding speed gains by a factor of 8 or more. Experiments show the benefits of the FFT in this context.

In this paper we introduce and analyze a set of regularization expressions based on self-similarity properties of images in order to address the classical inverse problem of image denoising and the ill-posed inverse problem of single-frame image zooming. The regularization expressions introduced are constructed using either the fractal image transform or… (More)

- Mehran Ebrahimi, Peter Siegler, Amen Modhafar, C. M. B. Holloway, Donald B. Plewes, Anne L. Martel
- Physics in medicine and biology
- 2014

Breast MRI is frequently performed prior to breast conserving surgery in order to assess the location and extent of the lesion. Ideally, the surgeon should also be able to use the image information during surgery to guide the excision and this requires that the MR image is co-registered to conform to the patient's position on the operating table. Recent… (More)

- Mehran Ebrahimi, Anne L. Martel
- MICCAI
- 2009

This paper presents a general PDE-framework for registration of contrast enhanced images. The approach directly applies the idea of separating the contrast enhancement term from the images in the regularization terms. In our formulation, we stay consistent with existing non-parametric image registration techniques, however, we carry an additional contrast… (More)

- Asghar Aghamohammadi, Hassan Abolhassani, +31 authors Nima Rezaei
- Expert review of clinical immunology
- 2014

OBJECTIVES
Common variable immune deficiency (CVID) is the most frequent form of symptomatic primary immunodeficiency disease, characterized by hypogammaglobulinemia, recurrent infections and increased predisposition to autoimmunity and malignancies. The aim of this study was to reconsider important points of previously performed studies on Iranian CVID… (More)

- Davide La Torre, Edward R. Vrscay, Mehran Ebrahimi, Michael F. Barnsley
- SIAM J. Imaging Sciences
- 2009

We construct a complete metric space (Y, dY ) of measurevalued images, μ : X → M(Rg), where X is the base or pixel space and M(Rg) is the set of probability measures supported on the greyscale range Rg. Such a formalism is well-suited to nonlocal image processing, i.e., the manipulation of the value of an image function u(x) based upon values u(yk)… (More)

- Mehran Ebrahimi, Edward R. Vrscay
- ICIAR
- 2008