> Wow, that's very impressive, and very un-intuitive (to me) that it's possible at all. Indeed, there is no free lunch. This is only possible because the rest

> Wow, that's very impressive, and very un-intuitive (to me) that it's possible at all. Indeed, there is no free lunch. This is only possible because the restoration algorithms are making some rather strong assumptions about the original picture. For example, they assume that evey blury area in the blury picture has a corresponding sharp edge in the original picture. It works fairly well on pictures with a lot of sharp edges such as the ones in the article: buldings, text etc. I'm guessing that it wouldn't work as well on natural landscapes or human faces, because they don't usually have edges likes this. For example, in this restored picture, http://hsto.org/storage2/9d8/554/c15/9d8554c156e63a213797502e4d5b9075.png http://hsto.org/storage2/9d8/554/c15/9d8554c156e63a213797502... the sky in this picture contains edges that do no exist in the original picture. The algorithm is trying to find edges where there are none. This is a very visible impact of this assumption.