Module opencv::xphoto

Additional photo processing algorithms

Modules

• prelude

Enums

• Bm3dSteps
  BM3D algorithm steps
• InpaintTypes
  Various inpainting algorithms
• TransformTypes
  BM3D transform types

Constants

• BM3D_STEP1
  Execute only first step of the algorithm
• BM3D_STEP2
  Execute only second step of the algorithm
• BM3D_STEPALL
  Execute all steps of the algorithm
• HAAR
  Un-normalized Haar transform
• INPAINT_FSR_BEST
  Performs Frequency Selective Reconstruction (FSR). One of the two quality profiles BEST and FAST can be chosen, depending on the time available for reconstruction. See GenserPCS2018 and SeilerTIP2015 for details.
• INPAINT_FSR_FAST
  See #INPAINT_FSR_BEST
• INPAINT_SHIFTMAP
  This algorithm searches for dominant correspondences (transformations) of image patches and tries to seamlessly fill-in the area to be inpainted using this transformations

Traits

• GrayworldWB
  Gray-world white balance algorithm
• GrayworldWBConst
  Constant methods for crate::xphoto::GrayworldWB
• LearningBasedWB
  More sophisticated learning-based automatic white balance algorithm.
• LearningBasedWBConst
  Constant methods for crate::xphoto::LearningBasedWB
• 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 inline formula of pixel values.
• SimpleWBConst
  Constant methods for crate::xphoto::SimpleWB
• TonemapDurand
  This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter and compresses contrast of the base layer thus preserving all the details.
• TonemapDurandConst
  Constant methods for crate::xphoto::TonemapDurand
• WhiteBalancer
  The base class for auto white balance algorithms.
• WhiteBalancerConst
  Constant methods for crate::xphoto::WhiteBalancer

Functions

• apply_channel_gains
  Implements an efficient fixed-point approximation for applying channel gains, which is the last step of multiple white balance algorithms.
• bm3d_denoising
  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.
• bm3d_denoising_1
  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.
• create_grayworld_wb
  Creates an instance of GrayworldWB
• create_learning_based_wb
  Creates an instance of LearningBasedWB
• create_simple_wb
  Creates an instance of SimpleWB
• create_tonemap_durand
  Creates TonemapDurand object
• dct_denoising
  The function implements simple dct-based denoising
• inpaint
  The function implements different single-image inpainting algorithms.
• oil_painting
  oilPainting See the book Holzmann1988 for details.
• oil_painting_1
  oilPainting See the book Holzmann1988 for details.