[PYTHON MATRIX-SIG] Re: [PYTHON IMAGE-SIG???]

[Fredrik Lundh]

> Maybe we should start a subsig for linalg, one for fft/image
> processing?

  Why not an Image SIG, targeted for graphics, publishing, GIS and
good ole "scientific image processing" users...

  I've almost completed the first release of an image handling and
processing library for Python.  This release focuses on file formats
and basic operations (see the attached "preannouncement").  The design
is to some extent ready for more serious image processing (including
support for 32-bit integer and floating point images), and I would
very much like to interface (not merge) this with the matrix package
to avoid duplicating stuff like FFTs etc.

  I've also got ok from my bosses to distribute the library for free
use, and to spend some time on promoting it :-)  

  What do you think?

Regards/F

====================================================================
Fredrik Lundh			|  mail to fredrik_lundh@ivab.se
IV Image Systems AB		|  or call +46 13 200100
Teknikringen 9			|  or fax to +46 13 214897
583 30 LINKOPING SWEDEN		|  
====================================================================

--------------------------------------------------------
Preannouncement: The Python Imaging Library, Release 0.1
--------------------------------------------------------

The Python Imaging Library adds an image object to your Python
interpreter.  You can load image objects from a variety of file
formats, and apply a rich set of image operations to them.

Features:

+ Identify and extract image characteristics from a large set of image
  file formats.

+ Read and write PPM, BMP, GIF, and JPEG files.  Supports progressive
  reading of all formats through ImageIO objects.

+ BW, Palette, RGB, RGBA and CMYK pixel formats.

+ Crop, cut/paste, convert between pixel formats.

+ Image geometry: resize, rotate, transpose, user defined affine
  transform.  Nearest neighbour only.

+ Image enhancement: blur, contour, detail, edge enhance, emboss,
  find edges, smooth, sharpen, and user defined 3x3 and 5x5 integer
  kernels.  User defined point transforms.

+ Image analysis: histogram, global statistics.

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