Title :
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
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;
Conference_Titel :
Computer Graphics, Imaging and Visualization, 2004. CGIV 2004. Proceedings. International Conference on
Print_ISBN :
0-7695-2178-9
DOI :
10.1109/CGIV.2004.1323974
