Module xphoto

Additional photo processing algorithms

Modules

prelude

Structs

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.

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

GrayworldWBTrait

Mutable methods for crate::xphoto::GrayworldWB

GrayworldWBTraitConst

Constant methods for crate::xphoto::GrayworldWB

LearningBasedWBTrait

Mutable methods for crate::xphoto::LearningBasedWB

LearningBasedWBTraitConst

Constant methods for crate::xphoto::LearningBasedWB

SimpleWBTrait

Mutable methods for crate::xphoto::SimpleWB

SimpleWBTraitConst

Constant methods for crate::xphoto::SimpleWB

TonemapDurandTrait

Mutable methods for crate::xphoto::TonemapDurand

TonemapDurandTraitConst

Constant methods for crate::xphoto::TonemapDurand

WhiteBalancerTrait

Mutable methods for crate::xphoto::WhiteBalancer

WhiteBalancerTraitConst

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.

bm3d_denoising_1_def

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_def

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_learning_based_wb_def

Creates an instance of LearningBasedWB

create_simple_wb

Creates an instance of SimpleWB

create_tonemap_durand

Creates TonemapDurand object

create_tonemap_durand_def

Creates TonemapDurand object

dct_denoising

The function implements simple dct-based denoising

dct_denoising_def

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.