Tim Bray is looking for a better way to post photos to his web site. To judge from the sample photo, his current method doesn’t antialias the image, so sharp edges in the original look jagged when reduced in size.

I went through the same thing with iPhoto, which has an HTML Export feature that is similarly broken—it doesn’t antialias at all. It’s a strange limitation, considering that the Mac OS X graphics system has fast, high-quality antialiasing everywhere else, including fonts and Dock icons. It’s as if Apple turned off a global switch in iPhoto for better performance when displaying large number of images onscreen, but forgot to turn it back on for HTML exporting, where quality should count for much more.

In any case, the quality of iPhoto’s exports was poor, so I wrote a Python script to handle the export using the Python Imaging Library. (Contact me if you’d like the code. So far, I’ve publicly released only the general-purpose plist parser that I wrote to handle the AlbumData.xml file.)

The script reads the titles and comments assigned in iPhoto, and parses them for category and other tagging information I’ve appended to the comments. Then it generates date-based and category-based HTML page hierarchies for all the albums whose names start with "Web-", and generates any thumbnails or medium-sized images that are missing.

The Python Imaging Library, or PIL, is very easy to install with MacPython 2.3’s Package Manager.

There are some drawbacks, though:

• I had to push the JPEG quality setting very high to avoid obvious macro-blocking (squares showing up around detailed areas), and pushing the quality any higher caused PIL to fail by throwing an exception.
• The BICUBIC setting for image reduction didn’t appear to work at all. The image ended up non-antialiased, the same as Photoshop’s "Nearest Neighbor" setting. Only ANTIALIASED had any effect. This may result in bilinear instead of bicubic interpolation, but the documentation isn’t clear.
• The Thumbnail setting produces an image quickly, but they are very low-quality.
• The Progressive setting for JPEGs seemed to cause even more exceptions when trying to save at high quality levels, so I was forced not to use it.
• It’s not nearly as fast as Mac OS X’s Core Graphics image reduction. But then again, I wouldn’t expect it to be.

On the positive side, the antialiasing looks good, and PIL can also read embedded EXIF data. Images that I’ve tagged as deserving more info automatically get the aperture and shutter speed printed on the page.

The code for actually reducing and saving the image, ignoring the EXIF and album manipulations for now, is as simple as this:

if not os.path.exists(newPath):
    shrunkImage = im.resize(size, resample = PIL.Image.ANTIALIAS)
    shrunkImage.save(newPath, 'JPEG', quality = 90)

You can see samples in my Pictures section. Check out the first batch of Providence photos for some night examples with shutter speeds and apertures shown, and the Providence and Boston kayaking photos for examples of pictures with lots of edges that would have looked much worse without antialiasing.