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Easy Photo Unblur  9.3 Giveaway
$49.99
EXPIRED

Giveaway of the day — Easy Photo Unblur 9.3

Removes excessive noise and sharpens the blurred objects.
$49.99 EXPIRED
User rating: 16 3 comments

Easy Photo Unblur 9.3 was available as a giveaway on May 16, 2024!

Today Giveaway of the Day
$16.00
free today
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Easy Photo Unblur improves the quality of camera shots by removing excessive noise and sharpening the blurred objects.
Making photos in motion or unfavorable light conditions often results in blurred or noisy shots. With Easy Photo Unblur pictures become crystal clear thanks to smart digital optimization. The program algorithms unblur photos by detecting misfocused objects and intelligently cleaning the noise.
The program offers a range of unblur pics modes with adjustable parameters – smoothing radios, detalization, noise pre- and post processing. Depending on the noise intensity, you are free to use different unblur image modes to fix the handshake, misfocuse and motion blur. This unblur picture app supports batch image optimization that is much faster than unblur photos one by one. Just drag and drop the image folder to the app and start processing.
There are many ways how to unblur a picture, and the most of them require professional skills in graphics editing. Easy Photo Unblur fits everyone regardless of skills in photography and design. The program helps to unblur a picture using artificial intelligence mechanisms. It is much more efficient than flat sharpening used in the most of alternative solutions. A user can preview the result and compare it with original photo before saving changes.

Purchase an Unlimited personal license (with support and updates) at 70% discount!

System Requirements:

Windows 7/ 8/ 8.1/ 10/ 11

Publisher:

SoftOrbits

Homepage:

https://www.softorbits.net/unblur-photos/

File Size:

1.2 MB

Licence details:

6 month license

Price:

$49.99

GIVEAWAY download basket

Developed by Andrew Zhezherun
Developed by PhotoInstrument
Developed by Autodesk, Inc.
Developed by Vectorian Inc.

Comments on Easy Photo Unblur 9.3

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#3

Meanwhile I've tested Easy Photo Unblur 9.3 with a couple of test images I have collected for exaclty this purpose. The best thing first: this time it did not crash a single time. The not so good thing: it installed in c:\-drive, without allowing any changes to the installation path. The intermediate thing: it did nothing special to my noisy test targets, for example Paint.NETs "Surface Unsharpening" did a much better job on a very noisy night scene. Some examples brighter examples got degraded astoundingly to the poor side.
Tip: for faster calculation speed and better response try to work with a representative small snippet of the original image (save in lossles format). The worse thing: workflow is beyond good and evil. The program comes by far with one of the most unlogical and confused user interfaces I've ever seen. I could not detect any special logic behind. Adjusting vacuous settings always brought unexpected results, Probably a translation problem? And when I had finally made some promising adjustments, they got lost in the next step, because there is no option for saving any settings. User defined presets? Finally everything I promised before occured: using tools from this vendor is very time consuming and complicated as complicated can be. For freeware or open source this might be good enough, but pay? To stay fair, I´ve tested with very noisy and only slightly unsharp images, so I can not say much about the deconvolution function that might be the main purpose of this tool.

Reply   |   Comment by Serious Sam  –  27 days ago  –  Did you find this comment useful? yes | no (+3)
#2

After extensive research, have learned the following:
Easy Photo Unblur improves the quality of camera shots by removing excessive noise and sharpening the blurred objects. Making photos in motion or unfavorable light conditions often results in blurred or noisy shots. With Easy Photo Unblur pictures become crystal clear thanks to smart digital optimization. The program algorithms unblur photos by detecting misfocused objects and intelligently cleaning the noise. The program offers a range of unblur pics modes with adjustable parameters – smoothing radios, detalization, noise pre- and post processing. Depending on the noise intensity, you are free to use different unblur image modes to fix the handshake, misfocuse and motion blur. This unblur picture app supports batch image optimization that is much faster than unblur photos one by one. Just drag and drop the image folder to the app and start processing. There are many ways how to unblur a picture, and the most of them require professional skills in graphics editing. Easy Photo Unblur fits everyone regardless of skills in photography and design. The program helps to unblur a picture using artificial intelligence mechanisms. It is much more efficient than flat sharpening used in the most of alternative solutions. A user can preview the result and compare it with original photo before saving changes.

Reply   |   Comment by paulnjean  –  28 days ago  –  Did you find this comment useful? yes | no (-4)
#1

regarding Easy Photo Unblur 9.3:
Deconvolution is a relatively new algorithm that makes it possible to sharpen unsharp or smeared (moving) pictures - in theory. New to me is that
unblur can also remove pixelnoise? From my previous experience from testing the previous giveaway version all I can say is, that it is very time consuming and complicated to use. When I get really bored I might try it out - the Denoise 9.0 from the same vendor took me my last nerves, the program exits randomly with error messages when you try the deeper AI-denoise presets. The developer must be very busy, there is a new +0.1 version upstep every few weak, and it also seems that every new version brings new bugs?
Let's take a look. Giveaway runs only for 6 months in registered mode. There is no indicator (timer) how long the giveaway might work and when the registration will end.

Reply   |   Comment by Serious Sam  –  28 days ago  –  Did you find this comment useful? yes | no (+3)
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