Solution Introduction
Introduction
The popularity of smartphone and social network makes taking and sharing of pictures extremely simple and convenient. As of 2017, there are 2.4 billion active smartphone users worldwide. Images that were taken by smartphone users alone amount to petabytes of data generated every day. Cloud storage has make it easier than ever for mobile phone users to share their pictures in social media and access their picture from multiple devices. As a result, most mobile phone users opt to store their pictures in the cloud. These pictures inevitably end up as image data stored in Internet Data Centers (IDC). As a result, image processing computation such as image transcoding, thumbnail generation, image recognition and the like on these massive image data have become part of IDC computation workload.
The instruction based Von Neumann architecture of CPU and GPU have inherent limitations in running image coding and decoding algorithms, instructions are inherently serial, so there are limitations on utilizing massive data parallelism to improve computational performance.
CTAccel Image Processing (CIP) accelerator is an FPGA-based image processing acceleration solution that greatly improves the performance of image processing and image analytics by transferring computational workload from CPU to FPGA. CIP's powerful processing capabilities benefit data centers by increasing image processing throughput by 4-6x, reduce computational latency by 4x, and reduce TCO by 3x. CIP redefines data center image processing with state-of-the-art technologies which utilize massively data parallel algorithm to increase computational performance.
Accelerated Functions
JPEG to Lepton / JPEG decode + resize
Use Case
- Thumbnail Generation 2. Resize 3. Watermark 4. Brightness/Contrast 5. Sharpen 6. Maincolor 7. Image storage
