Oversampled Graph Laplacian Matrix for Graph Filter Banks
The image is loaded as the input image and filtering process occurs. Then in the preprocessing , the image is filtered by using median filter .The median filter is used to reduce the noise in the image and for smoothening the image.. After that, in the color information we will get the value of red ,green and blue. Then the image is clustered separately as red channel ,green channel and blue channel. The fuzzy c-means clustering technique was used for clustering the image. Then the image enhancement is done which highlights certain characteristics than the original image. Finally, in the performance the SNR is calculated. First, the image is loaded as the input image. Filtering operations takes place for the input image. The median filter is used for the removal of noise and smoothening the image. Then the color information is obtained in which the value of the red ,blue and green color. The clustering process takes place for the filtered image. Fuzzy c-means clustering technique is used for clustering because it gives better results than other clustering techniques. We obtain the cluster image as separately the red channel, green channel and blue channel. Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. Then the image enhancement is done which highlights certain characteristics than the original image. Enhancement is used to process the image so that the result is more suitable than the original image. Enhancement technique is used to sharpens image features such as edges, boundaries, or contrast. The enhancement can increase the dynamic range of the chosen feature so that they can be detected easily.
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