OpenCV  3.3.1-dev
Open Source Computer Vision
Classes | Enumerations | Functions
cv::xphoto Namespace Reference

Classes

class  GrayworldWB
 Gray-world white balance algorithm. More...
 
class  LearningBasedWB
 More sophisticated learning-based automatic white balance algorithm. More...
 
class  SimpleWB
 A simple white balance algorithm that works by independently stretching each of the input image channels to the specified range. For increased robustness it ignores the top and bottom \(p\%\) of pixel values. More...
 
class  WhiteBalancer
 The base class for auto white balance algorithms. More...
 

Enumerations

enum  Bm3dSteps {
  BM3D_STEPALL = 0,
  BM3D_STEP1 = 1,
  BM3D_STEP2 = 2
}
 BM3D algorithm steps. More...
 
enum  InpaintTypes { INPAINT_SHIFTMAP = 0 }
 various inpainting algorithms More...
 
enum  TransformTypes { HAAR = 0 }
 BM3D transform types. More...
 

Functions

void applyChannelGains (InputArray src, OutputArray dst, float gainB, float gainG, float gainR)
 Implements an efficient fixed-point approximation for applying channel gains, which is the last step of multiple white balance algorithms. More...
 
void bm3dDenoising (InputArray src, InputOutputArray dstStep1, OutputArray dstStep2, float h=1, int templateWindowSize=4, int searchWindowSize=16, int blockMatchingStep1=2500, int blockMatchingStep2=400, int groupSize=8, int slidingStep=1, float beta=2.0f, int normType=cv::NORM_L2, int step=cv::xphoto::BM3D_STEPALL, int transformType=cv::xphoto::HAAR)
 Performs image denoising using the Block-Matching and 3D-filtering algorithm http://www.cs.tut.fi/~foi/GCF-BM3D/BM3D_TIP_2007.pdf with several computational optimizations. Noise expected to be a gaussian white noise. More...
 
void bm3dDenoising (InputArray src, OutputArray dst, float h=1, int templateWindowSize=4, int searchWindowSize=16, int blockMatchingStep1=2500, int blockMatchingStep2=400, int groupSize=8, int slidingStep=1, float beta=2.0f, int normType=cv::NORM_L2, int step=cv::xphoto::BM3D_STEPALL, int transformType=cv::xphoto::HAAR)
 Performs image denoising using the Block-Matching and 3D-filtering algorithm http://www.cs.tut.fi/~foi/GCF-BM3D/BM3D_TIP_2007.pdf with several computational optimizations. Noise expected to be a gaussian white noise. More...
 
Ptr< GrayworldWBcreateGrayworldWB ()
 Creates an instance of GrayworldWB. More...
 
Ptr< LearningBasedWBcreateLearningBasedWB (const String &path_to_model=String())
 Creates an instance of LearningBasedWB. More...
 
Ptr< SimpleWBcreateSimpleWB ()
 Creates an instance of SimpleWB. More...
 
void dctDenoising (const Mat &src, Mat &dst, const double sigma, const int psize=16)
 The function implements simple dct-based denoising. More...
 
void inpaint (const Mat &src, const Mat &mask, Mat &dst, const int algorithmType)
 The function implements different single-image inpainting algorithms. More...