A CUDA accelerated debayering library with C/C++ and Rust support.
nix develop
This enters a dev shell with all of the necessary build dependencies.
This is a simple C API that wraps the underlying CUDA kernels. The C API assumes the images are already in GPU memory. libdebayer implements 3 debayering algorithms:
- Menon 2007
- Malvar 2004
- Bilinear (same as builtin OpenCV)
This provides a higher level C++ API that performs cudaMemcpy's from
host to device. An example of how to use this library is in
benchmark/cpp.
This provides a higher level Rust API with TryFrom traits to go from
an OpenCV Mat to a debayered Mat. An example of how to use this
library is in rust/examples/test_benchmark.rs. This test benchmark
is identical to the benchmark/cpp program.
nix develop
cd rust
KODAK_FOLDER_PATH="<path-to-benchmark-kodak-files>" cargo run --example test_benchmark
libdebayer is benchmarked against OpenCV and NPP (Nvidia Performance
Primitives). To run the benchmark for the Malvar 2004 implementation
run the following: nix run .#kodak_benchmark_cpp
- OCV-EA gets Average PSNR: 28.616 dB
- NPP gets Average PSNR: 28.8522 dB
- libdebayer Malvar 2004 CUDA kernel gets Average PSNR: 33.4554 dB (+4.8394 dB)
- libdebayer Menon 2007 CUDA kernel gets Average PSNR: 37.6907 dB (+9.0747 dB)
- Eliminates color fringing
Example output from OpenCV-EA:
Example output from NPP (Nvidia Performance Primitives):
Example output from our Malvar 2004 CUDA kernel:
Example outputs from our Menon 2007 CUDA kernel:
