Posts Tagged photography
Announcing: Blurity! (version, err… what letter comes before “alpha”?)
Posted by Jeff in Uncategorized on October 30th, 2009
Today marks a step forward for consumer photography. Precious memories will no longer be forever corrupted by unsightly blurs. Camera focus will no longer be critical. Camera movement? Had been detrimental — not anymore. The game has changed.
Blurity! is here. Image processing technology once limited to academics and scientists has been brought to the masses.
Have a blurry photo? Upload it, select the spot that should have been clear, and let the service do the rest.
Ok, enough of the marketing talk.
Here’s the deal: I’m launching Blurity! today, very quietly. The site is super-ugly, the image processing is slow, and the underlying processing algorithms could use a serious boost in quality. Lots of bugs too, I’m sure. In short, it’s a very early prototype.
Why release now instead of holding out for a more refined product? Simple: release early, release often. I’m pretty sure that most of what I have in place will end up changing, so it doesn’t make a lot of sense putting the polish on something that is in such severe flux. In addition, people seem more amenable to providing useful feedback on something that doesn’t appear to be finished.
So there it is. Give it a try. I’d love to hear what’s good and what’s bad, what you like and what you don’t like, what’s clear and what’s ambiguous. If you find it useful, so much the better! If not, give it a few releases and watch the quality improve.
Tell me what you think, either in the comments or by email (jeff.keacher(at)nesota(dot)com), and leave a way to get in contact with you, and I’ll send you a coupon code for a free image processing credit.
Blur is dead!
The Idea(s)
It is a common belief in Silicon Valley that ideas are worth very little. Instead, execution is the key to success. Consider the famous Edison quotation:
“Genius is 1% inspiration and 99% perspiration.”
So it went with Nesota. I considered many ideas, including:
- Group travel planning/coordination service, born out of my own frustration
- Consumer-grade thermal imaging camera, prompted by stories of volunteer firefighters borrowing the departments’ thermal cameras for use as hunting aids
- Group gift service, where money for a gift from a group could be collected and the gift selected
- Coaching hub, where students could find coaches, coaches could find students, and payment could be exchanged in a formal manner (”YouCoach.Me”)
- Broad automotive enthusiast site, in the style of BonnevilleClub.com (my successful niche site for Pontiac Bonneville owners, now sold)
- Photography TV channel or show, showing how to achieve various ends through technique (kind of like Good Eats meets The Shot)
- Service for pestering people to stop procrastinating and start working, targeted at entrepreneurs who can’t seem to get their projects going
In the months and years since my initial thoughts, some of these have come to be (for example, StickK partially fulfills the nagging-service use case), and others remain frustratingly absent (like the consumer-grade thermal camera, though it seems to be a ripe opportunity for Redshift Systems). Part of the challenge in selecting an idea is having the perseverance to stick with a single idea instead of running off with the idea-of-the-week, each of which is “surely easier” and “certainly more profitable” than the original idea under development.
After a bunch of false starts (anybody want to buy the domain YouCoach.Me?), I settled on a computational photography idea that grew out of a discussion with a good friend. What, specifically? Well, if a photographer or the camera makes a mistake with the exposure setting, the white balance, or the framing, all of those problems can be corrected rather simply in post-production. However, if a focusing error is made, the photographer has few good options. Sure, he can hit the picture with “unsharp mask” and its brethren, but those filters serve only to increase the acutance of the image. They don’t fix the underlying focus problem. What to do?
It turns out that there’s a better way. A way that’s been used to a limited extent in astronomy and microscopy for years. A way that presents an exceptionally difficult technical challenge to the implementer. A way that’s ripe for commercialization.
Imagine: if your camera produces a blurry photo because of a focusing error or camera movement, this technique can recover the latent sharp image and save the day. Such is the beauty of the current idea.
The challenge now is the implementation.