- title = "Evolutionary Design of Robust Noise-Specific Image Filters",
- author = "Zdenek Vasicek and Michal Bidlo",
- pages = "269--276",
- booktitle = "Proceedings of the 2011 IEEE Congress on Evolutionary Computation",
- year = "2011",
- editor = "Alice E. Smith",
- month = "5-8 " # jun,
- address = "New Orleans, USA",
- organization = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- ISBN = "0-7803-8515-2",
- keywords = "genetic algorithms, genetic programming, cartesian genetic programming, 2D signal processing, cartesian genetic programming representation, digital image processing, evolutionary algorithm, evolutionary design, impulse noise, iterative filtering algorithm, noise intensity, noise median filter, nonlinear noise detection, nonnoise pixels, robust noise specific image filter design, image representation, impulse noise, iterative methods, median filters",
-
DOI = "
doi:10.1109/CEC.2011.5949628",
- ISSN = "Pending",
- abstract = "Evolutionary design has shown as a powerful technique in solving various engineering problems. One of the areas in which this approach succeeds is digital image processing. Impulse noise represents a basic type of non-linear noise typically affecting a single pixel in different regions of the image. In order to eliminate this type noise median filters have usually been applied. However, for higher noise intensity or wide range of the noise values this approach leads to corrupting non-noise pixels as well which results in images that are smudged or lose some details after the filtering process. Therefore, advanced filtering techniques have been developed including a concept of noise detection or iterative filtering algorithms. In case of the high noise intensity, a single filtering step is insufficient to eliminate the noise and obtain a reasonable quality of the filtered image. Therefore, iterative filters have been introduced. In this paper we apply an evolutionary algorithm combined with Cartesian Genetic Programing representation to design image filters for the impulse noise that are able to compete with some of the best conventionally used iterative filters. We consider the concept of noise detection to be designed together with the filter itself by means of the evolutionary algorithm. Finally, it will be shown that if the evolved filter is applied iteratively on the filtered image, a high-quality results can be obtained using lower computational effort of the filtering process in comparison with the conventional iterative filters.",
-
notes = "CEC2011 sponsored by the IEEE Computational
Intelligence Society, and previously sponsored by the
EPS and the IET.
Also known as \cite{5949628}",
