This does gaussian blur on a user-input image. It generates a 1-dimensional Gaussian distribution kernel with qualities set by the user.
Requirements: stb_image.h and stb_image_write.h
Usage: ./gb.exe inputjpg outputname a x0 x1 dim
Example: ./gb.exe myimg.jpg output.jpg 0.6 -2.0 2.0 101
The above is a recommended configuration. It will generate a kernel of 101 samples of a Gaussian distribution function centered at the origin. The 101 evenly-spaced samples are taken on the specified interval, in this case from -2.0 to 2.0. The specified value 'a', in this case 0.6, is a parameter of the Gaussian distribution function.
The blurring process is done in two steps; Given image A as our input, we first convolve the kernel over the rows of image A to produce a horizontally blurred image B. We then convolve the kernel over the columns of image B to produce a horizontally and vertically blurred image C. The image C is our final blurred image, and we save it to disk.
Image reading and writing is handled by stb_image.h and stb_image_write.h.