Real-time High-speed Lossless CompressionCVC Codec (FPGA IP Core)FPGA-driven High-speed Lossless Data Compression IP Core Series
Designed for natural data such as images and waveforms, CVC Codec is an IP Core that implements our proprietary CVC lossless data compression algorithm with FPGA.
Conventional methods:
- Run slow and take too long time to complete.
- Processing speed highly depends on the type of input data.
- Not suitable for embedded applications due to requiring a large circuit size.
- Lower compression ratio depending on the data contents.
- Freewares may involve ambiguous licenses.
- General compression means easy decompression.
CVC Codec:
- Achieves overwhelmingly faster compression than conventional methods.
- Low-latency design ― Compression starts once data is input.
- Stable processing speed and virtually real-time processing.
- Compact circuit size and can be easily implemented into existing systems.
- Higher compression ratio than conventional methods.
- Highly secure due to our proprietary process.
- Includes a free license for a dedicated library for decompression (limited-function version).
CVC Codec: Usage
CVC Codec is constructed in a similar way to FIFO, and passes data via input data (parallel) and control signal (clock, enable, etc) interfaces.
CVC Codec/Encoder
CVC Codec/Encoder outputs compressed data with latency of 2-10 lines after being input digital data such as from sensors.
CVC Codec/Decoder
CVC Codec/Decoder outputs original data with latency of 2-10 lines after being input data compressed by CVC Codec/Encoder.
Product Lineup
- Color space: Gray/Bayer/RGB/YUV
- Resolution: 8-16bit
- Pixel Clock: x1/x2/x4/x8
Supported Devices
- Various types of XILINX and Intel (ALTERA) devices
For details, please contact us by e-mail.
CVC Codec: Applications
Exhaustive storage of image data from visual inspection systems (for automotive, electronics, etc.).
Exhaustive storage of inspection image data of continuums (for example, sheets and panels).
Securing bandwidth and storage of camera data from autonomous driving and advanced safety systems.
Waveform data compaction in IoT clouds and data centers.
Speeding-up communications and power saving for remote monitoring systems.
Experiment data archive in lab environments.
