Open source implementation of High-throughput JPEG2000 (HTJ2K), also known as JPH, JPEG2000 Part 15, ISO/IEC 15444-15, and ITU-T T.814. Here, we are interested in implementing the HTJ2K only, supporting features that are defined in JPEG2000 Part 1 (for example, for wavelet transform, only reversible 5/3 and irreversible 9/7 are supported).
The interested reader is referred to HTJ2K white paper for more details on HTJ2K, this paper for the attainable performance on CPU, and this paper for decoding on a GPU.
The code is written in C++; the color and wavelet transform steps can employ SIMD instructions on Intel platforms. It conceivable that at some point in the future, SIMD instructions are employed to improve performance of the block (de)coder, and/or for platforms other than Intel. As it stands, on Intel Skylake i7-6700, encoding 4K 4:4:4 HDR images losslessly takes around 0.5s, and decoding takes around 0.34s; for lossy compression, performance depends on the quantisation step size (qstep), but for a high-quality image at a bitrate of around 3 bits/pixel, encoding takes around 0.27s and decoding takes 0.22s.
As it stands, the OpenJPH library needs documentation. The provided encoder ojph_compress only generates HTJ2K codestreams, with the extension j2c; the generated files lack the .jph header. Adding the .jph header is of little urgency, as the codestream contains all needed information to properly decode an image. The .jph header will be added at a future point in time. The provided decoder ojph_expand decodes .jph files, by ignoring the .jph header if it is present.
The provided command line tools ojph_compress and ojph_expand accepts and generated .pgm, .ppm, and .yuv. See the usage examples below.
The code employs the cmake tool to generate a variety of build environments. A visual studio code container is included for building using the visual studio code remote containers add in (highly recommended)
For Linux
cd build
cmake -DCMAKE_BUILD_TYPE=Release ../
make
The generated library and executables will be in the bin folder.
For Windows
cd build
cmake ../ -G "Visual Studio 14 2015 Win64"
cmake support other visual studio versions. This command generates a solution in the build folder, which can be build using visual studio.
For macOS
You can use the "For Linux" approach above. Alternatively, you can use the Xcode project in src/apps/apps.xcodeproj, which I use. Another approach is to use cmake to generate an xcode project, in the build folder, using
cd build
cmake ../ -G Xcode
make
The generated library and executables will be in the bin folder.
The library can now be compiled to javascript/wasm. For this purpose, a small wrapper file (ojph_wrapper.cpp) has been written to interface between javascript and C++; the wrapper currently supports decoding only. A small demo page demonstrating the script can be accessed here.
Compilation needs the emscripten tools. One way of using these tools is to install them on your machine, and activate them using
source emsdk_env.sh
before compilation. Alternatively, if you are a docker user, the you can launch a docker session using script provided at subprojects/js/emscripten-docker.sh; this script will download a third-party docker image that has the emscripten tools integrated in it -- Thanks to Chris for the suggesting and providing these tools.
The javascript decoder can be compiled using
cd subprojects/js/build
emmake cmake ..
makeThe compilation creates libopenjph.js and libopenjph.wasm in subprojects/js/html folder. That html folder also has the demo webpage index.html and a compressed image test.j2c which the script in index.html decodes. To run the demo webpage on your machine, you need a webserver running on the machine -- Due to security reasons, javascript engines running in a browser cannot access local files on the machine. You can use the emrun command, provided with the emscripten
tools, by issuing the command
emrun index.html
from inside the html folder; the default port is 6931. Alternatively, a simple python webserver can be run using
python -m SimpleHTTPServer 8000also from inside the html folder. Here, 8000 is the port number at which the webserver will be listening. The webpage can then be accessed by open 127.0.0.1:8000 in you browser. Any browser supporting webassembly can be used to view this webpage; examples include Firefox, Chrome, Safari, and Edge, on a desktop, mobile, or tablet.
Visual Studio Code Remote Containers are now available with OpenJPH. These scripts/configuration files are provided by Chris -- Thank you Chris, and I must say I am not familiar with them.
The scripts, in the .devcontainer folder, will build a docker image that can be used with visual studio code as a development environment.
Note: in Kakadu, pairs of data in command line arguments represent columns,rows. Here, a pair represents x,y information. On a different note, in reversible compression, quantization is not supported.
ojph_compress -i input_file.ppm -o output_file.j2c -num_decomps 5 -block_size {64,64} -precincts {128,128},{256,256} -prog_order CPRL -colour_trans true -qstep 0.05
ojph_compress -i input_file.yuv -o output_file.j2c -num_decomps 5 -reversible true -dims {3840,2160} -num_comps 3 -signed false -bit_depth 10 -downsamp {1,1},{2,2}
ojph_expand -i input_file.j2c -o output_file.ppm
ojph_expand -i input_file.j2c -o output_file.yuv
The standard is available here. It is currently free of charge; I do not know if this is temporary or permanent -- Update 25/12/2019: it is no longer available free of charge.
The associate site openjph.org serves as a blog. It currently host the javascript demo of the decoder; the webpage demonstrates that the library can be compiled to javascript, and can run inside a web-browser. Any browser supporting webassembly can be used to view this webpage; examples include Firefox, Chrome, Safari, and Edge, on a desktop, mobile, or tablet.