OpenJPEG

OpenJPEG 2.3.1 released

2019-04-02T00:00:00+00:00

Good news everyone !

OpenJPEG 2.3.1 is released today.

This is mainly a bugfix release, as detailed in the Changelog hereunder.

Enjoy,

Antonin

More info:

OpenJPEG 2.3.0 released

2017-10-04T00:00:00+00:00

Good news everyone !

OpenJPEG 2.3.0 is released today.

This new release finalizes the work made by Even Rouault and funded by several academic institutions and archival organizations to make OpenJPEG significantly faster and safer.

In addition to what has been done in v2.2.0 (multithreading at decoding, speed optimizations, memory consumption reduction, etc, see this post for details), this release adds improvement to sub-tile decoding. Now when you handle a huge single tile image and only wants to decode a small part of it, only the window of interest is actually processed: sounds quite natural but I can ensure it wasn’t that easy to implement. This leads to drastic speed and memory improvements as they only depend now on the size of the window and not on the original image size. This release also adds the ability to decode only a subset of components.

Overall, if we compare performances of OpenJPEG before all Even’s optimizations (v2.1.2) and the ones reached by the new v2.3.0 release, we observe a 55-60% speed improvement on single-thread whole image decoding (even more on big images like 10000x10000). Memory consumption is also drastically reduced on mega-image decoding: for example, for a full decoding of a single tile 8000x12000 image, it is reduced from 2 to 1.3 GB RAM. But more importantly, OpenJPEG is now a workable solution for workflows involving partial decoding.

Benchmarks are hard to compare as there are many variables that can influence the results: so if you are an OpenJPEG user, please download and try this new release within your workflow … And share your feedback, that would be highly appreciated.

Last but not least, and as indicated above and described in a previous post, all this has been made possible thanks to a funding from academic institutions and archival organizations, namely:

… And logistic support from the International Image Interoperability Framework (IIIF), the Council on Library and Information Resources (CLIR), intoPIX, and of course the Image and Signal Processing Group (ISPGroup) from University of Louvain (UCL, Belgium) hosting the OpenJPEG project. Thanks to all of them !

Many thanks also to Even Rouault, the developper who actually implemented these improvements, and of course to all contributors having suggested fixes or enhancements.

Enjoy,

Antonin

More info:

OpenJPEG 2.2.0 released

2017-08-10T00:00:00+00:00

Good news everyone !

OpenJPEG 2.2.0 is released today.

This new release includes a significant number of improvements and bug fixes. In particular:

Multi-threading support at decoding side
Several speed optimisations both at encoder and decoder, and both on Wavelet Transform and Entropy Coding parts. On our test set, a single-threaded execution is now around 20% faster (encoding or decoding).
Huge memory consumption reduction at decoding side (~60% reduction on large images)
Several important bug fixes, in particular the one that was preventing OpenJPEG to encode lossless in some specific situations, as well as those related to mode switches (BYPASS/LAZY, RESTART/TERMALL, etc).
Several security fixes thanks to the inclusion of OpenJPEG in the Google OSS Fuzz project.

Beside that, several improvements have been brought to the project maintenance, like inclusion of benchmarking scripts to compare speed with latest available kakadu binaries.

And, last but not least, API and ABI are 100% compatible with previous version.

As described in a previous post, all this has been made possible thanks to a funding from academic institutions and archival organizations, namely:

And logistic support of the International Image Interoperability Framework (IIIF), the Council on Library and Information Resources (CLIR), intoPIX, and of course the Image and Signal Processing Group (ISPGroup) from University of Louvain (UCL, Belgium) hosting the OpenJPEG project. Thanks to all of them !

Many thanks also to Even Rouault, the developper who actually implemented these improvements, and of course to all contributors having suggested fixes or enhancements.

I hope you will find this new version useful, don’t hesitate to provide feedback to improve it even further. By the way, more improvements are yet to come in the coming months.

Enjoy,

Antonin

Faster OpenJPEG is on track

2017-04-27T00:00:00+00:00

Good news for OpenJPEG and the JPEG 2000 open-source community !

Starting May 1st, a 4-month improvement plan will take place, thanks to the funding provided by five well known academic institutions and archival organizations, namely:

This plan has also been made possible thanks to the support of the International Image Interoperability Framework (IIIF), the Council on Library and Information Resources (CLIR), intoPIX, and of course the Image and Signal Processing Group (ISPGroup) from University of Louvain (UCL, Belgium) hosting the OpenJPEG project.

The primary goal of this improvement plan is to upgrade OpenJPEG so that it meets the needs of the Digital Library Community. Practically, Even Rouault, already known for his contributions on multi-threading, will work towards improving several aspects of the code. Main focus is the decoding speed, region-of-interest decoding and memory footprint.

Project status will be publicly accessible on Github.

Faster and better OpenJPEG can therefore be expected by the end of 2017 !

OpenJPEG 2.1.2 released

2016-09-28T00:00:00+00:00

Good news everyone!

OpenJPEG 2.1.2 is released today.

Important security fixes and third party libraries update.