2016.07.05 12:57 "[Tiff] git version control", by

2016.08.20 18:20 "Re: [Tiff] 32 bits per sample", by

Hi,
Thank you all for your help, but nip2 and graphicsmagick do not
work for my tiff file.
nip2 shows a whole black image, just like
other image viewer (eog, gimp...) and gm says it doesn't support for my
file format.
The only software I find can show my picture correctly
is 'imview' (and 'irfan view' in windows also works fine)
Sorry but
I am a total novice, I don't know where is the problem. May I upload my
tiff file somewhere so that you guys can help me find out what's going
on?
Thank you for your time!

Regards,

Yufeng

On 20 August 2016 at 05:15, <yufengs@andrew.cmu.edu> wrote:

On

Linux, I can hardly find a software that can open tiff file with 32

BitsPerSample, which is so frustrating.

Some packages support most of the libtiff types. libvips, for example, supports

32-bit tiff, including int, float and single-precision

complex. You can load, display, manipulate and save images in these formats.

http://www.vips.ecs.soton.ac.uk

Have a look for "nip2" in your package manager.

Why libtiff does not support for tiff file with 32 bits per
sample?

It works well, it's just that support at the higher levels is a bit

thin.
> John

Hi John,

Thank you for your advice, but nip2 doesn't work for my tiff file. It shows a whole black image, just like other image viewer (eog, gimp...)

The only software I find can show my picture correctly is 'imview'

May I upload my tiff file somewhere to

On 20 August 2016 at 05:15, <yufengs@andrew.cmu.edu> wrote:

On

Linux, I can hardly find a software that can open tiff file with 32

> BitsPerSample, which is so frustrating.

Some packages support most of the libtiff types. libvips, for example, supports 32-bit tiff, including int, float and single-precision complex. You can load, display, manipulate and save images in these formats.

http://www.vips.ecs.soton.ac.uk

Have a look for "nip2" in your package manager.

Why libtiff does not support for tiff file with 32 bits per
sample?

It works well, it's just that support at the higher levels is a bit thin.