21.2. imageop — Manipulate raw image data

Python v2.7.1

21.2. imageop — Manipulate raw image data

Deprecated since version 2.6: The imageop module has been removed in Python 3.0.

The imageop module contains some useful operations on images. It operates on images consisting of 8 or 32 bit pixels stored in Python strings. This is the same format as used by gl.lrectwrite() and the imgfile module.

The module defines the following variables and functions:

exception imageop.error
This exception is raised on all errors, such as unknown number of bits per pixel, etc.
imageop.crop(image, psize, width, height, x0, y0, x1, y1)
Return the selected part of image, which should be width by height in size and consist of pixels of psize bytes. x0, y0, x1 and y1 are like the gl.lrectread() parameters, i.e. the boundary is included in the new image. The new boundaries need not be inside the picture. Pixels that fall outside the old image will have their value set to zero. If x0 is bigger than x1 the new image is mirrored. The same holds for the y coordinates.
imageop.scale(image, psize, width, height, newwidth, newheight)
Return image scaled to size newwidth by newheight. No interpolation is done, scaling is done by simple-minded pixel duplication or removal. Therefore, computer-generated images or dithered images will not look nice after scaling.
imageop.tovideo(image, psize, width, height)
Run a vertical low-pass filter over an image. It does so by computing each destination pixel as the average of two vertically-aligned source pixels. The main use of this routine is to forestall excessive flicker if the image is displayed on a video device that uses interlacing, hence the name.
imageop.grey2mono(image, width, height, threshold)
Convert a 8-bit deep greyscale image to a 1-bit deep image by thresholding all the pixels. The resulting image is tightly packed and is probably only useful as an argument to mono2grey().
imageop.dither2mono(image, width, height)
Convert an 8-bit greyscale image to a 1-bit monochrome image using a (simple-minded) dithering algorithm.
imageop.mono2grey(image, width, height, p0, p1)
Convert a 1-bit monochrome image to an 8 bit greyscale or color image. All pixels that are zero-valued on input get value p0 on output and all one-value input pixels get value p1 on output. To convert a monochrome black-and-white image to greyscale pass the values 0 and 255 respectively.
imageop.grey2grey4(image, width, height)
Convert an 8-bit greyscale image to a 4-bit greyscale image without dithering.
imageop.grey2grey2(image, width, height)
Convert an 8-bit greyscale image to a 2-bit greyscale image without dithering.
imageop.dither2grey2(image, width, height)
Convert an 8-bit greyscale image to a 2-bit greyscale image with dithering. As for dither2mono(), the dithering algorithm is currently very simple.
imageop.grey42grey(image, width, height)
Convert a 4-bit greyscale image to an 8-bit greyscale image.
imageop.grey22grey(image, width, height)
Convert a 2-bit greyscale image to an 8-bit greyscale image.
imageop.backward_compatible
If set to 0, the functions in this module use a non-backward compatible way of representing multi-byte pixels on little-endian systems. The SGI for which this module was originally written is a big-endian system, so setting this variable will have no effect. However, the code wasn’t originally intended to run on anything else, so it made assumptions about byte order which are not universal. Setting this variable to 0 will cause the byte order to be reversed on little-endian systems, so that it then is the same as on big-endian systems.