Preserving the Edges of a Digital Image Using Various Filtering Algorithms and Tools
Kumar Navjeet, Deepak Punetha, Frederick Ojiemhende Ehiagwina · International Journal of Signal Processing Image Processing and Pattern Recognition · 2016
Digital Image Processing is basically the implementation of a set of computer algorithms for processing digital images. Digital image processing has probative advantages over Analog image processing. In this content, noise like, Gaussian, Salt and Pepper, Speckle and Poisson, is added to an image and then the original edges are restored using various filters and tools. These tools have remarkable alteration on the image and hence they are widely employed. Some of them are wavelet transform, median filter, Weiner filter and many more.