Consumer Images

 

It may be surprising to know that at a time where just about everyone has a camera attached to their smartphone, that consumer images are not a prime part of our business.  The main reason is that there are so many pictures being taken, that cleaning up blurry ones is not a priority.  The exception is when you take that one shot that cannot be captured again.  The slideshow above has some examples of these.

 

This image, dating from the 1950's was scanned in from a slide.  The blind deconvolution was able to identify the blur and remove much of it.  Some of the artifacts were produced by scratches and dust on the slide.  We adjusted the colors afterward to give the image a more realistic view.

 

 

This is a rather uninteresting image of a parking lot in Balitmore, Maryland, taken by a friend of mine.  Noticing the blur, I asked if I could see what SeDDaRA could restore.  There is a little artifacting around bright objects, as a result of the jpeg compression, but the resolution is greatly improved.

 

 

This image is quite interesting, both for its content and for the clean-up.  The image was scanned from a photograph taken with a Brownie camera, a low-cost Kodak camera.  The women are hanging an outhouse for unknown reasons.  The constrast that came out of the image is incredible.

 

 

Getting this many people together for a picture is a feat in iteslf.  Unfortunately, the person at the controls may not have the steadiest hands.  This image proved difficult to fully restore since the people are darker than the surroundings.  This means that the 'signal' of that portion of the image is close to the 'noise'.  Much of the content of the blur is therefore lost in the noise.  Nonetheless, the deconovlution produced a modest improvement.