On Jun 9, 5:38=A0am, AJ <arandal...@[EMAIL PROTECTED]
> wrote:
> Hi All,
>
> I have an image which is very blocky (image can be seen
athttp://img222.im=
ageshack.us/my.php?image=3Ddegradedimagesh2.png) and
> would like to try and improve it's quality as much as possible.
>
> I understand that the image is of such a poor quality that I do not
> expect any huge improvements - that is not my aim, my aim is to see if
> it can be improved at all, and if so, which method(s) could yield the
> best results.
>
> So far I have tried some iterative restoration techniques such as
> Richardson-Lucy deconvolution and Blind deconvolution - both have
> proved to give a slight improvement.
>
> I was hoping someone would have some other suggestions as to how I
> could possibly improve the image.
>
> Just in case understanding how the image was degraded in the first
> place might help lead to a good suggestion for improvement algorithms,
> I created the image using the following steps:
>
> * 8x8 Sub-Block and DCT image
> * store top 2 coefficients from each sub-block
> * use these to create a new image
>
> Many thanks,
>
> AJ
Okay, this improved result,
http://www.general-cathexis.com/images/degradedimagesh2_4.jpg
, was obtained by incor****ating some information from the cosine half
wave within each 8 pixel interval. The values are all of the same
sign within each half interval so I can get a fairly natural looking
image by reducing to 128 x 64 using a box kernel. Whereas, a 64 x 64
reduction averages the half cosine to zero, the 128 x 64 reduction
sort of makes it a half square wave.
Here is the reduced image in 16 bit format,
http://www.general-cathexis.com/images/degradedimagesh2_Reduced.png
, which I enlarged 8X using a proprietary nonlinear method and then
reduced the width 0.5X using box interpolation.
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