Lossless & Near-Lossless JPEG-LS Encoder
The JPEG-LS-E core implements a efficient, low-power, lossless and near-lossless image compression engine that is compliant to th…
Overview
The JPEG-LS-E core implements a highly efficient, low-power, lossless and near-lossless image compression engine that is compliant to the JPEG-LS, ISO/IEC 14495-1 standard.
Based on LOCO-I (LOw COmplexity LOssless COmpression for Images), the JPEG-LS algorithm leads in numerically lossless compression efficiency, attaining compression ratios similar or superior to those obtained with more advanced algorithms such as JPEG 2000. JPEG-LS also enables hardware implementations with a much smaller silicon footprint and lower memory requirements, thanks to its lower computational complexity and line-based processing. Further, the Near-Lossless mode of the JPEG-LS standard makes higher compression ratios and visually lossless compressed images feasible, allowing the user to set the maximum acceptable difference between a reconstructed and an original image sample.
The JPEG-LS-E core delivers the full compression efficiency of the standard in a compact and easy-to-use hardware block. The core interfaces to the system via standardized AMBA® interfaces: it accepts images and outputs compressed data via AXI4-Stream interfaces, and provides access to its control and status registers via a 32-bit APB interface. After its registers are programmed, the core can encode an arbitrary number of images without requiring any further assistance or action from the system. Users can optionally insert timestamps or other metadata in the compressed stream using a dedicated AXI Streaming interface.
The core is designed with industry best practices, and its reliability has been proven through both rigorous verification and silicon validation. The deliverables include a complete verification environment and a bit-accurate software model.
Key features
- JPEG-LS Encoder
- Highly Efficient Numerically Lossless Compression
- Better compression ratio than most lossless compression algorithms (JPEG2000, PNG, etc.)
- Near-Lossless Compression
- Enables greater compression with visually lossless quality by constraining the maximum difference between reconstructed and original image samples
- Maximum image resolution of 64Kx64K, or higher via support for oversize image dimension parameters
- Up to 16 bits per color sample; up to four color components
- Highly Efficient Numerically Lossless Compression
- Easy to Use and Integrate
- Run-time programmable input and encoding parameters
- Image resolution, number of color components, color depth
- Maximum reconstruction error, Point-Transform, Local Gradient, Reset Frequency
- Automatic program-once encode-many operation
- AXI4-Stream interfaces for image and compressed data, and 32-bit wide APB for register access
- Dedicated, easy-to-use timestamps interface
- Run-time programmable input and encoding parameters
- Versions and Throughput
- Area-optimized JPEG-LS-ES: one sample per cycle
- 40,000 eq. gates and up to 500 Msamples/sec on a typical 28nm technology
- Throughput optimized JPEG-LS-EF: synthesis-configurable number of samples per cycle
- Area-optimized JPEG-LS-ES: one sample per cycle
- Deliverables
- Source code RTL (Verilog) or Targeted FPGA Netlist
- Bit Accurate Model
- Sample simulation and synthesis scripts
- Verification testbenches
- Comprehensive documentation
Block Diagram
Specifications
Identity
Files
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Provider
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Frequently asked questions about image conversion IP cores
What is Lossless & Near-Lossless JPEG-LS Encoder?
Lossless & Near-Lossless JPEG-LS Encoder is a Image Conversion IP core from CAST listed on Semi IP Hub.
How should engineers evaluate this Image Conversion?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Image Conversion IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.