A comparison of noise removal techniques in songket motif images

Author

Jamil, Nursuriati ; Abu Bakar, Zainab ; Sembok, Tengku Mohd Tengku

Author_Institution

Universiti Teknologi MARA, Selangor, Malaysia

fYear

2004

fDate

26-29 July 2004

Firstpage

139

Lastpage

143

Abstract

Noise removal or noise suppression is important as the results of the noise removal task have a strong influence on the quality of the following image processing techniques. In this paper, three popular filters that is mean, median and adaptive filters are tested on 25 images of songket motifs. Different sizes of the filter kernels are also used as it plays a factor in producing the desired results. Prior to noise removal, the images are subjected to preprocessing operations such as histogram stretching and image cleaning. To determine the performance of the noise removal, visual evaluation is performed.

Keywords

adaptive filters; image denoising; median filters; adaptive filters; filter kernels; histogram stretching; image cleaning; image processing; mean filters; median filters; noise removal; noise suppression; preprocessing operations; songket motif images; visual evaluation; Adaptive filters; Filtering; Frequency domain analysis; Gaussian noise; Noise level; Noise reduction; Nonlinear filters; Optical distortion; Optical noise; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualization, 2004. CGIV 2004. Proceedings. International Conference on

Print_ISBN

0-7695-2178-9

Type

conf

DOI

10.1109/CGIV.2004.1323974

Filename

1323974