manipulating pixel colors in image media

brij shah / callum styan

grayscale

objective/problem

objective:

problem:

technical implementation

• our solution uses a library for python called 'PIL'
• allows us to open, manipulate, save many different image formats
• PIL = python image library

computing techniques

• .convert
• .save
• .show
• .filter

code walk-thru

static PyObject* 
_convert(ImagingObject* self, PyObject* args)
{
    char* mode;
    int dither = 0;
    ImagingObject *paletteimage = NULL;

    if (!PyArg_ParseTuple(args, "s|iO", &mode, &dither, &paletteimage))
	return NULL;
    if (paletteimage != NULL) {
      if (!PyImaging_Check(paletteimage)) {
	PyObject_Print((PyObject *)paletteimage, stderr, 0);
	PyErr_SetString(PyExc_ValueError, "palette argument must be image with mode 'P'");
	return NULL;
      }
      if (paletteimage->image->palette == NULL) {
	PyErr_SetString(PyExc_ValueError, "null palette");
	return NULL;
      }
    }

    return PyImagingNew(ImagingConvert(self->image, mode, paletteimage ? paletteimage->image->palette : NULL, dither));
}
					

examples

conclusions

limitations

put text here swagins

the end.