Dr. Rastislav Lukac Profile

Dr. Rastislav Lukac

at Epson Canada Ltd

SPIE Involvement:

Author

Proceedings Article | 9 October 2003 Paper

Nonparametric technique of noise reduction in color images

Bogdan Smolka, Rastislav Lukac, Konstantinos Plataniotis, Anastasios Venetsanopoulos

Proceedings Volume 5146, (2003) https://doi.org/10.1117/12.504102

KEYWORDS: Image filtering, Digital filtering, Nonlinear filtering, Denoising, Optical filters, Image processing, Color image processing, Quality measurement, Image quality, Image enhancement

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Proceedings Article | 9 October 2003 Paper

Selection vector filter framework

Rastislav Lukac, Konstantinos Plataniotis, Bogdan Smolka, Anastasios Venetsanopoulos

Proceedings Volume 5146, (2003) https://doi.org/10.1117/12.499643

KEYWORDS: Digital filtering, Filtering (signal processing), Image filtering, Nonlinear filtering, Electronic filtering, Optical filters, Optimization (mathematics), Image processing, Interference (communication), Distance measurement

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Proceedings Article | 9 October 2003 Paper

Robust retrieval of fine art paintings

Bogdan Smolka, Rastislav Lukac, Konstantinos Plataniotis, Anastasios Venetsanopoulos

Proceedings Volume 5146, (2003) https://doi.org/10.1117/12.504101

KEYWORDS: Image retrieval, Image compression, Databases, Digital imaging, Visualization, Image processing, Roentgenium, RGB color model, Statistical analysis, Multimedia

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Proceedings Article | 9 October 2003 Paper

A variety of multichannel sigma filters

Rastislav Lukac, Bogdan Smolka, Konstantinos Plataniotis, Anastasios Venetsanopoulos

Proceedings Volume 5146, (2003) https://doi.org/10.1117/12.500263

KEYWORDS: Digital filtering, Image filtering, Nonlinear filtering, Image processing, Smoothing, Optical filters, Distance measurement, Electronic filtering, Interference (communication), Switching

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The smoothing function of widely used vector filters such as vector median (VMF), basic vector directional filter (BVDF) and directional distance filter (DDF) is designed to perform the fixed amount of smoothing. It may become the undesired property, because in some image areas these filters introduce too much smoothing and blur thin details and image edges. In general, the common problem is how to preserve some desired signal features while the noise elements are removed. An optimal situation would arise if the filter could be designed so that the desired features were invariant to the filtering operation and only noise would be affected. In case of the impulsive noise corruption, the problem is stated often as searching for the switching function that allows to reduce the filter effect only to noisy samples. In this paper, a new nonlinear filtering scheme for the removal of impulsive noise in multichannel digital images is presented. A new class of multichannel sigma filters is based on the combination of the standard sigma-filter concept provided by Lee and the robust order-statistics theory. With respect to a variety of the measures (e.g. vector distance expressed through Minkowski metric, angular distance or their combination) for quantification of the distance between multichannel samples, we provide a rich class of adaptive vector sigma filters taking advantages of the threshold structure with the approximation of the standard deviation and also the fully adaptive filter structure. Thus, by adaptive switching between the smoothing function and the identity operation, the behavior of the proposed method is attractive for filtering of image environments degraded by impulsive noise, bit errors and outliers. The new filtering scheme is computationally efficient and able to achieve excellent balance between the image detail preservation and the noise suppression. The achieved results show that the new filtering class has excellent preservation capabilities and provides significant improvement in comparison with well-known vector filters such as VMF, BVDF and DDF in terms of all commonly used quality measures.

Proceedings Article | 23 June 2003 Paper

Three-dimensional entropy vector median filter for color video filtering

Rastislav Lukac, Bogdan Smolka, Konstantinos Plataniotis, Anastasios Venetsanopoulos

Proceedings Volume 5150, (2003) https://doi.org/10.1117/12.503178

KEYWORDS: Digital filtering, Image filtering, Optical filters, Nonlinear filtering, Image processing, Video, Error analysis, Interference (communication), Video processing, Telecommunications

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Proceedings Article | 23 June 2003 Paper

Application of kernel density estimation for color image filtering

Bogdan Smolka, Rastislav Lukac, Konstantinos Plataniotis, Anastasios Venetsanopoulos

Proceedings Volume 5150, (2003) https://doi.org/10.1117/12.503191

KEYWORDS: Image filtering, Digital filtering, Optical filters, Statistical analysis, Image processing, Image analysis, Image quality, Interference (communication), Distance measurement, Automatic control

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Proceedings Article | 23 June 2003 Paper

Modified anisotropic diffusion framework

Bogdan Smolka, Rastislav Lukac, Konstantinos Plataniotis, Anastasios Venetsanopoulos

Proceedings Volume 5150, (2003) https://doi.org/10.1117/12.503213

KEYWORDS: Diffusion, Anisotropic diffusion, Image processing, Image enhancement, Denoising, Nonlinear filtering, Anisotropic filtering, Image filtering, Signal processing, Control systems

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Showing 5 of 7 publications

Conference Committee Involvement (6)

Real-Time Image and Video Processing 2013

6 February 2013 | Burlingame, California, United States

Real-Time Image and Video Processing

19 April 2012 | Brussels, Belgium

Real-Time Image and Video Processing 2011

24 January 2011 | San Francisco Airport, California, United States

Real-Time Image and Video Processing

16 April 2010 | Brussels, Belgium

Real-Time Image and Video Processing

19 January 2009 | San Jose, California, United States

Showing 5 of 6 Conference Committees

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