Re: Improving the quality of a blocky image

Interspersed comments:

On Jun 9, 11:57=A0am, AJ <arandal...@[EMAIL PROTECTED]
> wrote:
>
> I'm impressed! =A0The edges are very crisp, much better than I am
> currently getting. =A0Thank 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.
>

The edge preserving method is not post processing and is proprietary.

>
> 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".

http://en.wikipedia.org/wiki/Nearest_neighbor_interpolation

I didn't produce any box enlargement.  I pretended that your image was
a box enlargement of a hypothetical image 1/8 its size.   Thusly, only
for my convenience, I threw away all information contained in your DCT
coefficients above 0 frequency.  With respect to reduction, an
interpolation kernel is typically expanded by a factor inversely
pro****tional to the scale.  More specifically, the pixels in each of
your 8x8 blocks were simply averaged to produce one pixel in a reduced
image.  Then that reduced image was enlarged by my proprietary method
which incor****ates prior knowledge that the image was a box reduction.

>Did you implement this in Matlab? =A0I'm not sure what
> you mean by this...is it a filter you have applied?
>

No, I implemented SAR Image Processor in C++.  You can download a free
save disabled demo to play with.  Google it.