QOI Image Decompressor IP Core
This core implements the QOI lossless image compression algorithm decompressing QOI header-less files and producing RGB 24 bits p…
Overview
This core implements the QOI lossless image compression algorithm decompressing QOI header-less files and producing RGB 24 bits pixels. Simple, fully synchronous design with low gate count.
OL_QOID is a fast, low complexity implementation of the compression algorithm that decompresses one 24 bits RGB pixel per clock cycle.
The QOI Lossless Image Compression Algorithm
QOI stands for Quite OK Image Format and it is a fast, simple lossless image compression algorithm.
As it can be seen in these benchmarks, the performance of the algorithm is usually somewhere in between two well known image compression libraries (like libpng and stb) but at a much lower computational cost.
QOI uses a combination of some well known image compression techniques and innovative ideas.
Pixels are compressed as:
- runs of identical pixels
- an index to a 64 pixel cache of previously encountered pixels
- a difference to the previous pixel
- a full RGB pixel
The QOI algorithm is an excellent compromise between compression performance and low algorithmic complexity.
Key features
- Implemented according to the QOI image format.
- Decompresses one 24 bits pixel per clock cycle.
- High throughput : up to 800 Mpixles/s in high end, 4K@30 in low end FPGAs.
- Optional header processing available.
- Fully synchronous design.
- Available as fully functional and synthesizable VHDL or Verilog soft-core.
- Test benches provided.
Block Diagram
Applications
- Bandwidth and storage reduction.
- Lossless compressed frame store.
- Space imaging applications.
- SoC to SoC image transmission.
Files
Note: some files may require an NDA depending on provider policy.
Specifications
Identity
Provider
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Frequently asked questions about Data Compression IP
What is QOI Image Decompressor IP Core?
QOI Image Decompressor IP Core is a Data Compression IP core from Ocean Logic Pty Ltd listed on Semi IP Hub.
How should engineers evaluate this Data Compression?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Data Compression 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.