A comparison of noise removal techniques in songket motif images

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.