ij-plugins / ijp-debayer2sx Goto Github PK
View Code? Open in Web Editor NEWRaw Bayer pattern to color image converters
License: GNU Lesser General Public License v2.1
Raw Bayer pattern to color image converters
License: GNU Lesser General Public License v2.1
Method net.sf.ijplugins.debayer2sx.DeBayer2#stackToColorProcessor
re-scales the input stack as a side effect of computing the output image. It should not be happening.
Is it able to open a 10-bit raw image and convert to 8-bit RGB for display?
The result of G-R order using bilinear has a similar color to G-B order using DDFAPD and vice versa.
I have implemented a bilinear demosaicing program so I think the problem lies in the bilinear type.
Implement basic version of the algorithm from "Demosaicing with Directional Filtering and a Posteriori Decision", D. Menon, S. Andriani, and G. Calvagno, IEEE Trans. Image Processing, vol. 16 no. 1, Jan. 2007.
Focus on accuracy not speed.
Hello,
Sorry to ask this naive question. Can someone show the detail steps how to install plugin for imageJ?
Thanks.
Your README references this multiple times.
http://umanitoba.ca/faculties/science/astronomy/jwest/plugins.html no longer appears to be a valid link, and I've not found an alternative location. Does this exist independently in a public version control system? Am I correct that this project does not directly include these sources?
Kind regards,
Roger
Now that "cfor" support Scala 3, remove duplicate implementation of LoopUtils
, make it the same for Scala 2 and 3
DDFAPD throws ArrayIndexOutOfBoundsException when processing image with certain sizes, for instance, 347x440.
Test is on branch https://github.com/ij-plugins/ijp-DeBayer2SX/tree/feature/fix_bug_13
Ensure that binaries are build with Java 8 support to help working in FIJI.
Scala code is generated for Java 8 already, but compilation of Java files will need to be changed (-target 1.8)
Allow creation of 16-bit and 32-bit Bayer image from CompositeImage
of corresponding bit depth.
For instance IJPUtils is clashing with class with the same package in https://github.com/ij-plugins/ijp-toolkit
See: ij-plugins/ijp-toolkit#17
There are some places where DDFAPD/FloatProcessorMath code can be optimized for speed
Currently all outputs are 32-bit per channel. When processing 16-bit input, output should be 16 bit-per channel, similar for 8-bit input output should be 8-bit.
Travis CI is defunct mode CI testing to GitHub actions
See discussion
#19 (comment)
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