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libdebayer

A CUDA accelerated debayering library with C/C++ and Rust support.

Dev Setup

nix develop

This enters a dev shell with all of the necessary build dependencies.

Library Breakdown

libdebayer

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:

libdebayercpp

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.

libdebayer-rs

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.

Run Rust Example

nix develop
cd rust
KODAK_FOLDER_PATH="<path-to-benchmark-kodak-files>" cargo run --example test_benchmark

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

Benchmark Results

  • 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

Image Results

Example output from OpenCV-EA:

OpenCV-EA

Example output from NPP (Nvidia Performance Primitives):

NPP

Example output from our Malvar 2004 CUDA kernel:

malvar2004

Example outputs from our Menon 2007 CUDA kernel:

menon2007

menon2007-lighthouse