It’s almost Christmas, I haven’t posted anything in a while and I see that WordPress has an Image Compare feature, so let’s have some colourful fun.
When I’m not at the computer writing R code, I can often be found at the computer processing photographs. Or at the computer browsing Twitter, which is how I came across Stuart Humphryes, a digital artist who enhances autochromes. Autochromes are early colour photographs, generated using a process patented by the Lumière brothers in 1903. You can find and download many examples of them online. Stuart uses a variety of software tools to clean, enhance and balance the colours, resulting in bright vivid images that often have a contemporary feel, whilst at the same time retaining the somewhat “dreamy” quality of the original.
Having read that one of his tools uses neural networks, I was keen to discover how easy it is to achieve something similar using freely-available software found online. The answer is “quite easy” – although achieving results as good as Stuart’s is somewhat more difficult. Here’s how I went about it.
The Twitter + FriendFeed combination is proving to be a very useful information stream; not just from other people but as a reminder of what I thought was worth sharing. Two links from there that I think deserve wider attention:
One Big Lab proposes that we become, well, one big lab – and has some ideas as to how that might work.
From the OWW wiki, an excellent article on python in computational biology. This has been presented at Pycon 2008 and is also a companion article to a paper in PLoS Computational Biology. Imagine if everyone described their methods in this detail.
Deepak has some commentary on what we’re now calling the “bio-twitterverse”.