[][src]Module opencv::xphoto

Constants

BM3D_STEPALL
BM3D_STEP1
BM3D_STEP2
HAAR
INPAINT_SHIFTMAP

Traits

GrayworldWB

Gray-world white balance algorithm

LearningBasedWB

More sophisticated learning-based automatic white balance algorithm.

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.

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.

WhiteBalancer

The base class for auto white balance algorithms.

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.