文件名称:denoisingFilters
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denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned
filters, it is become obvious clear that for the given noisy image the Min filter acted much better than
the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third
good result respectively. That is way can conclude that the existing noise in the given image was Salt
noise.-denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned
filters, it is become obvious clear that for the given noisy image the Min filter acted much better than
the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third
good result respectively. That is way can conclude that the existing noise in the given image was Salt
noise.
filters, it is become obvious clear that for the given noisy image the Min filter acted much better than
the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third
good result respectively. That is way can conclude that the existing noise in the given image was Salt
noise.-denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned
filters, it is become obvious clear that for the given noisy image the Min filter acted much better than
the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third
good result respectively. That is way can conclude that the existing noise in the given image was Salt
noise.
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denoisingFilters\hibiscus.jpg
................\note.txt
................\question2.m
denoisingFilters