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SmartDeblur 2.1 - with Blind Deconvolution
We are pleased to announce SmartDeblur 2.1.
This new release features a blind deblurring module which can automatically identify and remove complicated blur patterns in an image.
Deblurring efficiency of the original version has also been improved.
See new web-site for project: SmartDeblur.net
Restoration of defocused and blurred images
Restoration of distorted images is one of the most interesting and important problems of image processing - from the
theoretical, as well as from the practical point of view. There are especial cases: blurring due to incorrect focus
and blurring due to movement - and these very defects (which each of you knows very well, and which are very difficult
to repair) were selected as the subject of this article. As for other image defects (noise, incorrect exposure,
distortion), the humanity has learned how to correct them, any good photo editor has that tools.
Why is there almost no means for correction of blurring and defocusing (except unsharp mask) - maybe it is
impossible to do this at all? In fact, it is possible - development of a respective mathematical theory started approximately 70
years ago, but like other algorithms of image processing, deblurring algorithms became wide-used just recently. So, below
is a couple of pictures to demonstrate the WOW-effect:
I decided not to use well-known Lena, but just found my own picture
of Venice. The right image was really made from the left one, moreover, no optimization like 48-bit format (in this
case there will be almost 100% restoration of the source image) were used - there is just a regular PNG with syntetic
blur on the left side. The result is impressive... but in practice not everything is so good.
Part 1 Part 2