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-README-VeNum
-Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum
-=================================================================
-
-Consumers are increasingly browsing Web based photo galleries incorporating
-high-resolution JPEG images with their mobile devices. These images are
-decoded by the mobile device, and typically also scaled down to fit the user's
-zoom selection on the device's browser.
-
-In order to improve both decode and download times, Qualcomm Innovation Center
-has optimized the JPEG library found on many common OS platforms such as Web
-OS, Android, and Chrome OS. Our team re-implemented several routines to utilize the
-DSP-like SIMD capabilities of the ARM NEON instruction set. These were then
-tuned and tested on Qualcomm's Snapdragon platform which implements the VeNum
-implementation of these same instructions.
-
-The specific areas of focus cover VeNum/NEON acceleration of Inverse Discrete
-Cosine Transform (iDCT) for 8x8, 4x4, 2x2, and 1x1 block sizes and YUV to RGB
-color space conversion. This resulted in a range of 18-32% improvement in JPEG
-decode and downscale times for images greater than 2Mpixels.