intoPIX, the provider of innovative image processing solutions, has announced a full stack of TICO-RAW products, immediately available for implementers.
The release covers all the RAW format requirements: most popular CFA Bayer patterns (RGGB, …), bit depths ranging from 8 to 16 bits, resolutions from 2Mpixels up to 160Mpixels, even at high frame rates.
TICO-RAW is the new RAW: It preserves the most beautiful pixels and most perfect colors with the world’s best efficiency. From the most brilliant brights to the deepest darks… With 10 times less bandwidth required and 10 times less storage needed compared with those of regular RAW, TICO-RAW offers all this with incredible speed and low complexity.
TICO-RAW stack includes small footprint IP-cores
Available for ASIC design and FPGA (on Intel and Xilinx FPGA platforms), the TICO-RAW IP-cores deliver full flexibility to users. Features include: adjustable compression rates from 2:1 to 16:1; and selectable constant bitrate (CBR) or capped variable bitrate (VBR). So, whether you need lossless quality for video applications, or mathematically lossless for machine vision or analytics, TICO-RAW has you covered.
No heavy-duty, power-consuming and expensive processing: TICO-RAW is designed with extremely low complexity in mind. RAW encoder and decoder cores are symmetrical, use minimal logic, minimal internal memory, and no external DDR.
No time-consuming delay: A fixed line-based latency reduces the processing time to one-tenth of a millisecond, in real-time applications.
They can be embedded in any type of camera system and any pixel rate, solving internal and external bandwidth limitations or storage challenges.
TICO-RAW stack includes Fast Software libraries
The intoPIX FastTICO-RAW software development kits are available for x86-64 Intel & AMD CPUs (v2.0) and Nvidia GPUs (v1.2.5).
These SDKs offer superior performance and include high-speed (de)coding, high frame rate support and low latency.
All TICO-RAW decoders come with an internal downscaler, for proxy viewing, editing or fast analysis.
Future releases are planned for the first semester of 2021 and will further boost performances and capabilities.