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The libjpeg-turbo Project relies on donations and funded development opportunities in order to supply our enterprise-quality JPEG codec for free. If your organization has benefited from using libjpeg-turbo, then please consider sponsoring our project so that we can continue to provide this valuable service to your organization and others.

Sponsorship can take two forms. Project sponsors fund the development of specific features/fixes that they need. General sponsors donate money toward the libjpeg-turbo General Fund, which is used to pay for continued maintenance, integration of features/fixes submitted by the community, and hot projects that are not funded by project sponsors.

Organizations who donate to The libjpeg-turbo General Fund, purchase support, donate equipment, or otherwise sponsor the project at a level of US$1000 or greater can opt to have their logo displayed on this page. If you are interested in becoming a general sponsor, purchasing support, or in funding a specific feature/fix, then e-mail the project admin .

We also accept smaller donations to the libjpeg-turbo General Fund through PayPal. Every dollar received goes toward developing libjpeg-turbo.

Sponsors List

CompanyLevel of SponsorshipTime PeriodTechnologies Sponsored
DebianProjectJanuary, 2017Adding ICC color profile read/write functions to the libjpeg API (libjpeg-turbo 1.6)
Intel CorporationProjectMay, 2016 - July, 2016AVX2 SIMD support for color conversion, upsampling/downsampling, and integer quantization algorithms (libjpeg-turbo 1.6)
Mozilla ResearchProjectNovember, 2014 - June, 2016Development of a framework for extending the libjpeg API without breaking backward ABI compatibility (currently deployed in mozjpeg but will be adopted by libjpeg-turbo once a new feature necessitates it); Various security-related fixes in libjpeg-turbo 1.5
Google, Inc.ProjectJune, 2015 - February, 2016Partial image decoding functions in libjpeg-turbo 1.5, to facilitate the integration of libjpeg-turbo into Android-- code contributions and funding of labor necessary to integrate, test, and debug the feature; Various security-related fixes in libjpeg-turbo 1.4.2 and 1.5; ARMv8 development hardware
Userful CorporationProjectMay, 2015AVX2-compatible development hardware
International Business Machines, Inc.ProjectAugust, 2014 - January, 2015PowerPC Altivec VMX SIMD support (libjpeg-turbo 1.5)
Advanced Micro Devices, Inc.ProjectJuly, 2013 - July, 2014Experimental OpenCL extensions for accelerating JPEG decompression in libjpeg-turbo (project ultimately did not bear fruit); development hardware
WilocityProjectFebruary, 2014 - March, 2014Support for decoding YUV images using the TurboJPEG 1.4 API
ImageShack Corp.ProjectApril, 2013 - May, 2013Support for arbitrary line padding and IDCT scaling when generating YUV images using the TurboJPEG 1.4 API
Santos LtdProjectMay, 2011 - February, 2012Research, testing, and integration of ARM NEON SIMD routines
MercurienProjectJanuary, 2011 - May, 2011Scaling and lossless transform features in the TurboJPEG API; TurboJPEG Java wrapper; Re-factoring legacy VirtualGL code to allow re-licensing libjpeg-turbo under a BSD-style license; TurboJPEG API documentation
Cendio ABProjectMarch, 2009 - February, 201164-bit SSE2 support and Huffman codec performance enhancements; CMake-based build system for Windows; Fix for Issue #3165031
Blinkmind, Inc.ProjectNovember, 2010 - December, 2010Decompress-to-YUV function in the TurboJPEG API
CamTrace SASProjectOctober, 2010libjpeg v7 and v8 API/ABI emulation

Creative Commons LicenseAll content on this web site is licensed under the Creative Commons Attribution 2.5 License. Any works containing material derived from this web site must cite The libjpeg-turbo Project as the source of the material and list the current URL for the libjpeg-turbo web site.

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Page last modified on February 03, 2017, at 03:52 PM