OpenEXR encoder: add capability to set the DWA compression level
* OpenEXR encoder: add capability to set the DWA compression level from outside
* Do not try to call `header.dwaCompressionLevel()` if OpenEXR is not version 3 or later
* Minor cleanup
Add reading of specific images from multipage tiff
* Add reading of specific images from multipage tiff
* Fix build issues
* Add missing flag for gdal
* Fix unused param warning
* Remove duplicated code
* change public parameter type to int
* Fix warnings
* Fix parameter check
OpenEXR compression options
* Adding possibility to select the compression type for the OpenEXR format.
There are compression modes other than the default that are more suited for certain data. Mainly grainy/noisy data.
* Code review fixes.
Co-authored-by: Daniel Rydstrom <daniel.rydstrom@sick.se>
* removed C API in the following modules: photo, video, imgcodecs, videoio
* trying to fix various compile errors and warnings on Windows and Linux
* continue to fix compile errors and warnings
* continue to fix compile errors, warnings, as well as the test failures
* trying to resolve compile warnings on Android
* Update cap_dc1394_v2.cpp
fix warning from the new GCC
* Fix issue #10114
Convert table change
From:
CV_8U -> HALF
CV_8S -> HALF
CV_16U -> UINT
CV_16S -> UINT
CV_32S -> UINT
CV_32F -> FLOAT
To:
CV_8U -> HALF
CV_8S -> HALF
CV_16U -> UINT
CV_16S -> FLOAT
CV_32S -> FLOAT loss precision
CV_32F -> FLOAT
Signed integer can't be presented well with UINT. Even adjust bias, CV16S and CV32S will be confused when load from exr file.
Also fix CV_8S negative value incorrect bug
* EXR import and export
imread() from EXR returns CV_32F only
imwrite() accepts CV_32 cv::Mat only and stores FLOAT images by default. Add imwrite() flag to store in HALF format.
* fix compiling error
* clean up
* fix EXR import issues
This patch implements the PAM image format as defined at:
http://netpbm.sourceforge.net/doc/pam.html
The PAM format provides a generic means for storing 2 dimensional information.
This is useful for opencv since there are cases where data gets translated into
non standardized formats, which makes it difficult to store and load this information.