Posted by
Robert Lockwood on
Nov 08, 2013; 7:15pm
URL: http://imagej.273.s1.nabble.com/wavelet-decompose-tp5005489p5005510.html
Some years ago I was able to use wavelets to achieve lossless compression
for our images. But that was using a proprietary software at $400 per
licence one of which was required for each copy of my software that I
distributed! That turned out to be an unworkable solution.
We need lossless compression in order to do physics on our data.
I got really good and quick compression on 16 bit unsigned data, though, as
my files were reduced to 12% to about 25% of the original compared to the
approximately 50% for the TIFF files I use with ImageJ. This is important
to us since we expect to be charged about $10 per MB to transmit our data
via a SATCOM service.
I have not checked the OpenJPG group lately but think that someone may have
a Java interface for their JPEG2000 C code.
Nate
On Fri, Nov 8, 2013 at 7:46 AM, Adrian Daerr <
[hidden email]> wrote:
> On 11/07/2013 05:48 PM, Michael Schmid wrote:
>
>> Hi Rainer,
>>
>> there is an alternative to wavelets: Simply do a bandpass filter in the
>> Fourier transform.
>>
>
> Hi,
>
> Of course this is a real alternative only if Rainer wants to filter
> exclusively in the frequency domain. The nice thing about wavelets is to
> represent data resolved both in the spatial and in the frequency domain. Of
> course one can window in the spatial domain before doing a Fourier
> transform, and finally window in the frequency domain, and do it properly
> so that the transformation can be inverted, but then one is doing ...
> wavelets.
> If Rainer is just interested in the frequency filtering aspect the FT with
> bandpass is of course a good solution.
>
> Adrian
>
>
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