Posts tagged ‘Convolution’

Image convolution is the most vital image processing algorithm available. Using simple 2-D convolution, you can blur, sharpen, emboss, and even detect edges in an image. Not only is convolution so powerful, but it is also very easy to perform. Simply put, the value of a modified pixel is determined solely by it’s original value summed up with weighted values of it’s neighboring pixels. After the weighted sum is completed, a division takes place to normalize the value of the pixel, usually so that the brightness of the image remains the same. Sometimes, an offset can be added after the normalization for certain effects. Continue reading ‘Image Convolution with GDI+’ »