Reduced computation genetic algorithm for noise removal
Reduced computation genetic algorithm for noise removal
- Author(s): C. Vertan ; C.I. Vertan ; V. Buzuloiu
- DOI: 10.1049/cp:19970906
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- Author(s): C. Vertan ; C.I. Vertan ; V. Buzuloiu Source: 6th International Conference on Image Processing and its Applications, 1997 p. 313 – 316
- Conference: 6th International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19970906
- ISBN: 0 85296 692 X
- Location: Dublin, Ireland
- Conference date: 14-17 July 1997
- Format: PDF
This article investigates the use of genetic algorithms in image denoising by non-linear (ordering-based) filters. It proposes a computational effective method for the genetic-based filter synthesis, that uses a model-free approach (no assumptions being made on the noise distribution or the image contents). The main originality is that the proposed method uses artificially (synthesised) test images for the noise estimation and filter design.
Inspec keywords: genetic algorithms; noise; filtering theory; image processing; nonlinear filters
Subjects: Optimisation techniques; Optimisation techniques; Optical information, image and video signal processing; Pattern recognition; Computer vision and image processing techniques
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