JPEG-LS-D

Lossless & Near-Lossless JPEG-LS Decoder

Despite its lower computational complexity, JPEG-LS offers exceptionally high lossless compression efficiency. JPEG-LS is expected to outperform PNG, and to provide similar compression ratios as lossless JPEG2000 for both color and greyscale images. The following illustration shows several indicative examples.

The JPEG-LS-D is suitable for applications requiring numerically or visually lossless compression of images or video of potentially high color or greyscale accuracy such as medical Imaging (DICOM), aerospace imaging/surveillance, and advanced driver assistance systems (ADAS).

The core is available in two versions, size-optimized and scalable-throughput. The size-optimized version, JPEG-LS-DS, provides a throughput of one sample per cycle and requires only one image line of buffering. A single JPEG-LS-DS core can decompress several hundreds of Msamples per second when mapped on an ASIC technology.

The scalable-throughput version, JPEG-LS-DF, can process multiple samples per cycle by internally aggregating a user-defined number of JPEG-LS-DS cores. The JPEG-LS-DF is suitable for compressing images or video with ultra-high resolutions and/or frame rates but assumes the use of restart markers in the encoded stream. 

Support 

The core as delivered is warranted against defects for ninety days from purchase. Thirty days of phone and email technical support are included, starting with the first interaction. Additional maintenance and support options are available. 

Deliverables 

The core is available in source code RTL (Verilog) or as an FPGA netlist, and its deliverables include everything required for successful implementation: 

• Sophisticated self-checking Testbench  
• Software (C++) Bit-Accurate Model  
• Sample simulation and synthesis scripts 
• Comprehensive user documentation Applications 

The JPEG-LS-D is suitable for applications requiring numerically or visually lossless compression of images or video of potentially high color or greyscale accuracy such as medical Imaging (DICOM), aerospace imaging/surveillance, and advanced driver assistance systems (ADAS). 

The JPEG-LS-D can be mapped to any ASIC technology. The size of a core depends on its configuration. The following table provides sample area and performance data for the JPEG-LS-DS core mapped on a typical 16nm technology using SVT cells. 

Note that the list of core configurations is not exhaustive and that these sample implementation figures do not represent the highest speed or smallest area possible for the core. Please consult with CAST to get accurate characterization data for your target technology and required core configuration.

The JPEG-LS-D can be mapped to any Altera® FPGA device, provided enough silicon resources are available. The size of a core depends on its configuration. The following table provides sample area and performance data for the JPEG-LS-D core mapped on an Arria® 10 device (speed grade 3) and excludes the image line buffer. 

Note that the list of core configurations is not exhaustive and that these sample implementation figures do not represent the highest speed or smallest area possible for the core. Please consult with CAST to get accurate characterization data for your target technology and required core configuration.

The JPEG-LS-D can be mapped to any AMD device, provided enough silicon resources are available. The size of a core depends on its configuration. The following table provides sample area and performance data for the JPEG-LS-D core mapped on Kintex UltraScale+ device with -1 speed grade and excludes the image line buffer.

Note that the list of core configurations is not exhaustive and that these sample implementation figures do not represent the highest speed or smallest area possible for the core. Please consult with CAST to get accurate characterization data for your target technology and required core configuration.

The JPEG-LS-D can be mapped to any Microchip device, provided enough silicon resources are available. The size of a core depends on its configuration. The following tables provide sample performance and resource utilization data for different Microsemi device families for the JPEG-LS-DS and JPEG-LS-DF versions of the core. The sample results do not represent the higher speed or smaller area for the core.

Table 1: Sample results for the JPEG-LS-DS version of the core configured to support a max image width of 2018 pixels, 8 bits per sample, and 1 color component.

Table 2: Sample results for the JPEG-LS-DF version of the core configured to support a max image width of 2018 pixels, 8 bits per sample, 1 color component, and 2 samples/cycle throughput.