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https://github.com/atilimcetin/guided-filter
Fast and complete guided filter implementation for OpenCV
https://github.com/atilimcetin/guided-filter
Last synced: 14 days ago
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Fast and complete guided filter implementation for OpenCV
- Host: GitHub
- URL: https://github.com/atilimcetin/guided-filter
- Owner: atilimcetin
- License: mit
- Created: 2014-12-19T18:35:46.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2020-06-01T17:00:16.000Z (over 4 years ago)
- Last Synced: 2024-07-21T08:32:45.216Z (4 months ago)
- Language: C++
- Size: 10.7 KB
- Stars: 349
- Watchers: 9
- Forks: 114
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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README
# Guided filter for OpenCV
Guided filter is an edge-preserving smoothing filter like the bilateral filter. It is straightforward to implement and has linear complexity independent of the kernel size. For more details about this filter see [[Kaiming10]](http://research.microsoft.com/en-us/um/people/kahe/eccv10/).
## Usage
The interface consists of one simple function `guidedFilter` and a class `GuidedFilter`. If you have multiple images to filter with the same guidance image then use `GuidedFilter` class to avoid extra computations on initialization stage. The code supports single-channel and 3-channel (color) guidance images and `CV_8U`, `CV_8S`, `CV_16U`, `CV_16S`, `CV_32S`, `CV_32F` and `CV_64F` data types.
## Examples
These examples are adapted from the [original MATLAB implementation](http://research.microsoft.com/en-us/um/people/kahe/eccv10/guided-filter-code-v1.rar).
### Smoothing
```c++
cv::Mat I = cv::imread("./img_smoothing/cat.bmp", CV_LOAD_IMAGE_GRAYSCALE);
cv::Mat p = I;int r = 4; // try r=2, 4, or 8
double eps = 0.2 * 0.2; // try eps=0.1^2, 0.2^2, 0.4^2eps *= 255 * 255; // Because the intensity range of our images is [0, 255]
cv::Mat q = guidedFilter(I, p, r, eps);
```[![Cat](http://atilimcetin.com/guided-filter/img_smoothing/cat-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat.png)
[![r=2, eps=0.1^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-2-0.1-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-2-0.1.png)
[![r=2, eps=0.2^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-2-0.2-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-2-0.2.png)
[![r=2, eps=0.4^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-2-0.4-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-2-0.4.png)[![r=4, eps=0.1^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-4-0.1-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-4-0.1.png)
[![r=4, eps=0.2^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-4-0.2-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-4-0.2.png)
[![r=4, eps=0.4^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-4-0.4-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-4-0.4.png)[![r=8, eps=0.1^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-8-0.1-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-8-0.1.png)
[![r=8, eps=0.2^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-8-0.2-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-8-0.2.png)
[![r=8, eps=0.4^2](http://atilimcetin.com/guided-filter/img_smoothing/cat-8-0.4-small.png)](http://atilimcetin.com/guided-filter/img_smoothing/cat-8-0.4.png)### Flash/no-flash denoising
```c++
cv::Mat I = cv::imread("./img_flash/cave-flash.bmp", CV_LOAD_IMAGE_COLOR);
cv::Mat p = cv::imread("./img_flash/cave-noflash.bmp", CV_LOAD_IMAGE_COLOR);int r = 8;
double eps = 0.02 * 0.02;eps *= 255 * 255; // Because the intensity range of our images is [0, 255]
cv::Mat q = guidedFilter(I, p, r, eps);
```[![Cave Flash](http://atilimcetin.com/guided-filter/img_flash/cave-flash-small.png)](http://atilimcetin.com/guided-filter/img_flash/cave-flash.png)
[![Cave No Flash](http://atilimcetin.com/guided-filter/img_flash/cave-noflash-small.png)](http://atilimcetin.com/guided-filter/img_flash/cave-noflash.png)
[![Cave Denoised](http://atilimcetin.com/guided-filter/img_flash/cave-denoised-small.png)](http://atilimcetin.com/guided-filter/img_flash/cave-denoised.png)### Feathering
```c++
cv::Mat I = cv::imread("./img_feathering/toy.bmp", CV_LOAD_IMAGE_COLOR);
cv::Mat p = cv::imread("./img_feathering/toy-mask.bmp", CV_LOAD_IMAGE_GRAYSCALE);int r = 60;
double eps = 1e-6;eps *= 255 * 255; // Because the intensity range of our images is [0, 255]
cv::Mat q = guidedFilter(I, p, r, eps);
```[![Mask](http://atilimcetin.com/guided-filter/img_feathering/toy-mask-small.png)](http://atilimcetin.com/guided-filter/img_feathering/toy-mask.png)
[![Guidance](http://atilimcetin.com/guided-filter/img_feathering/toy-small.png)](http://atilimcetin.com/guided-filter/img_feathering/toy.png)
[![Feathering](http://atilimcetin.com/guided-filter/img_feathering/toy-feather-small.png)](http://atilimcetin.com/guided-filter/img_feathering/toy-feather.png)### Enhancement
```c++
cv::Mat I = cv::imread("./img_enhancement/tulips.bmp", CV_LOAD_IMAGE_COLOR);
I.convertTo(I, CV_32F, 1.0 / 255.0);cv::Mat p = I;
int r = 16;
double eps = 0.1 * 0.1;cv::Mat q = guidedFilter(I, p, r, eps);
cv::Mat I_enhanced = (I - q) * 5 + q;
```[![Tulip](http://atilimcetin.com/guided-filter/img_enhancement/tulips-small.png)](http://atilimcetin.com/guided-filter/img_enhancement/tulips.png)
[![Smoothed](http://atilimcetin.com/guided-filter/img_enhancement/tulips-smoothed-small.png)](http://atilimcetin.com/guided-filter/img_enhancement/tulips-smoothed.png)
[![Enhanced](http://atilimcetin.com/guided-filter/img_enhancement/tulips-enhanced-small.png)](http://atilimcetin.com/guided-filter/img_enhancement/tulips-enhanced.png)## License
MIT license.