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Filtering in the spatial domain (Spatial Filtering)

image processing Lecture 6 Asst. Lec. Wasseem Nahy Ibrahem Page 1 Filtering in the spatial domain ( spatial Filtering ) refers to image operators that change the gray value at any pixel (x,y) depending on the pixel values in a square neighborhood centered at (x,y) using a fixed integer matrix of the same size. The integer matrix is called a filter, mask, kernel or a window. The mechanism of spatial Filtering , shown below, consists simply of moving the filter mask from pixel to pixel in an image . At each pixel (x,y), the response of the filter at that pixel is calculated using a predefined relationship (linear or nonlinear).

Image Processing Lecture 6 ©Asst. Lec. Wasseem Nahy Ibrahem Page 10 Sharpening Spatial Filters Sharpening aims to highlight fine details (e.g. edges) in an image, or enhance detail that has been blurred through errors or imperfect capturing

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