On Jun 9, 5:49 pm, aruzinsky <aruzin...@[EMAIL PROTECTED]
> wrote:
> On Jun 9, 5:38 am, AJ <arandal...@[EMAIL PROTECTED]
> wrote:
>
>
>
> > Hi All,
>
> > I have an image which is very blocky (image can be seen
athttp://img222.imageshack.us/my.php?image=degradedimagesh2.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
>
> Is this an improvement?:
>
> http://www.general-cathexis.com/images/degradedimagesh2_2.png
>
> I modeled your image as an 8X nearest neighbor (box) enlargement in
> both horizontal and vertical directions. All variation within a block
> is horizontal. In other words, the box model is exact only in the
> vertical direction. I reduced 0.125 X using box kernel and then
> enlarged 8X using a proprietary nonlinear enlargement method available
> in SAR Image Processor.
I'm impressed! The edges are very crisp, much better than I am
currently getting. Thank you for going to the effort of experimenting
with it and uploading your results.
It would be great if I could use my results (iterative restoration and
interpolation) and then apply your technique to edges, as I think that
the "inner" details such as the face look quite good with my
restoration technique, and the edges of the image look much better
with yours.
I would be really grateful if you could expand on the process you took
to achieve this image, such as the "8X nearest neighbor (box)
enlargement". Did you implement this in Matlab? I'm not sure what
you mean by this...is it a filter you have applied?
Many thanks
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