The Alma Technologies
The CCSDS 122.0-B-1 standard fits the compression requirement for a wide range of spaceborne two-dimensional spatial image data. In these applications the requirement is for a scalable data reduction, with the option to use lossless or lossy compression, using a memory-efficient and reduced complexity algorithm that results in a fast, low-power and compact hardware implementation. The Alma Technologies CCSDS-122-E encoder implementation realizes all these expected benefits and supports both lossless and lossy compression with a pixel dynamic range of up to 16 bits.
The CCSDS 122.0-B-1 standard was developed to balance between compression performance and complexity. Similar to JPEG 2000, it utilizes a two-dimensional Discrete Wavelet Transform (DWT) for image data decorrelation. CCSDS 122.0-B-1 uses a 9/7 integer DWT for the lossless compression, while a 9/7 float DWT is also specified for improved lossy compression efficiency, especially at low bit-rates. Both DWT options are available by the CCSDS-122-E core. For complete control by the application of the lossy compression ratio, the CCSDS-122-E includes also the optional rate control functionality that is provisioned by the standard. Compared to JPEG 2000, CCSDS 122.0-B-1 achieves similar lossless and lossy compression efficiency.
Clear text VHDL RTL source for ASIC designs, or pre-synthesized and verified Netlist for Intel, Lattice, Microsemi and Xilinx FPGA and SoC devices
Release Notes, Design Specification and Integration Manual documents
Bit Accurate Model (BAM) and test vector generation binaries, including sample scripts
Self checking testbench environment, including sample BAM generated test cases
Simulation and sample Synthesis (for ASICs) or Place & Route (for FPGAs) scripts