K
Kennedy McEwen
Bart, I think you are missing the point here and going off down a rabbitBart van der Wolf said:SNIP
And even if we'd consider a direct comparison at equal size, the loss
is less than a 50% loss due to the better S/N ratio and sharpening
potential:
<http://www.xs4all.nl/~bvdwolf/temp/50pct_IPRL.png>
If I would tweak the PSF a bit more, the result after restoration could
be slightly improved, and the S/N still better.
hole.
Nobody is disputing that there exist downsampling filters which increase
the MTF in the pass band of the output. I have spent more time
designing such filters myself than I wish I had! In almost all cases
these can be synthesised as composites of downsampling and high pass
filters anyway. However the high pass filter can equally be applied to
the original data directly and achieve exactly the same effect - over
the full original bandwidth.
Downsampling itself produces an SNR improvement, and your plots show
this too, but at the expense of restricting useful resolution to the
reduced bandwidth of the output - not what multisampling is intending to
achieve, and certainly not what deconvolution of the original data at
the full resolution would achieve, if sufficient noise reduction had
been produced by the multisampling in the first place.
In this case the reduced pass band of the downsampled output is
0.25cy/pixel, with everything beyond that aliasing, whilst in the
original the pass band is 0.5cy/pixel. Don't forget that the intention
of the sloped edge MTF measurement process is to actually oversample the
original data, thus pull out the aliased content of the test image into
a continuous linear scale.
Your plots demonstrate quite clearly that the original image has content
in the region 0.3-0.4 cy/pixel and beyond which is lost.