gqf2017 / dark-channel-haze-removal-with-cuda

Dark channel Haze removal algorithm with CUDA acceleration (typically 10x or more speedup using a Nvidia GPU)

Dark Channel Haze Removal

MATLAB implementation of "Single Image Haze Removal Using Dark Channel Prior"

Single Image Haze Removal Using Dark Channel Prior
Kaiming He, Jian Sun and Xiaoou Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume 30, Number 12, Pages 2341-2353
2011

 

CUDA acceleration implemented by Tom Heaven, [email protected]. To use CUDA mex function, you need to

• edit mex_CUDA_*.xml properly for WIN, LINUX or MAC platform. Example configuration files for vs2013+cuda7.5 and xcode8.0+cuda8.0 are provided.
• compile cuGetDarkChannel.cu with

mex -v cuGetDarkChannel.cu

or

mexcuda -v cuGetDarkChannel.cu

for Matlab2015b or later.

• set useGPU = true in demo_fast.m.

Acceleration

Running Time Comparison (seconds)

Image Size	CPU	GPU
1080p	7.82	0.43
4K	28.43	2.28

Tested on Intel I7 6700K (CPU) and Nvidia GTX 980Ti (GPU).

About CUDA Illegal Address Error

If you get CUDA Illegal Address error, try setting threadsPerBlock in cuGetDarkChannel.cu to a smaller value and recompile it. This may due to insufficient shared memory of your GPU block so we need to allocate less threads per block.