COS 323: Code for Image Processing

COS 323: Code for Image Processing

Downloading code

This code provides the basic functions for reading and writing images in ppm format. Click here for a man page for the PPM format.

If you download ppm.c, ppm.h, try.c and the Makefile, typing "make try" should get you an executable try which when run will create two small test images, try1.ppm and try2.ppm. Use xv to display those images.

This source code reads and writes only the PPM "raw" format. You can use xv to convert many other common image formats to PPM raw. Just display the image using xv and save in PPM raw mode. This source code is intended to get you started reading and writing image files without fussing over the mechanics. The functions provided are 

Image *ImageCreate(int width, int height);
Image *ImageRead(char *filename);
void   ImageWrite(Image *image, char *filename);
int    ImageWidth(Image *image);
int    ImageHeight(Image *image);
void   ImageClear(Image *image, u_char red, u_char green, u_char blue);
void   ImageSetPixel(Image *image, int x, int y, int chan, u_char val);
u_char ImageGetPixel(Image *image, int x, int y, int chan);
with obvious (I hope) meaning. Image is a struct defined in ppm.h. You should be able to write similar functions for your own use by analogy.

FFT Click here for testfft.c, an FFT function and a main test program.

Sample images (ppm format)

Here are some images to get started. What you see are thumbnails in jpeg. Click on them to get full-size images in ppm raw format, which can be downloaded by right-clicking in the image area. All of them fit in within a 256x256 frame, which is important when you take the FFT. The first is a small version of an image from Prof. Finkelstein, a painting by Matisse called LaMusique. The second is an oil portrait of Nikolai Gogal by F. A. Moller, 1841, which hangs in the Tretyakovskaya Galleria, Moscow. The third is a detail of a biker from the 1996-97 Princeton University catalog cover.
It's more fun if you download your own images from the web. Be sure to reduce their sizes and convert to PPM raw format, using xv. (And be sure they are in the public domain!)

Acknowledgement

This code and the Matisse image was graciously provided by Prof. Adam Finkelstein, and he has our warmest thanks.

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