43
#ifndef OPENCV_PHOTO_HPP
 
44
#define OPENCV_PHOTO_HPP
 
46
#include "opencv2/core.hpp"
 
47
#include "opencv2/imgproc.hpp"
 
120
CV_EXPORTS_W
void
inpaint( InputArray src, InputArray inpaintMask,
 
121
OutputArray
dst,
double
inpaintRadius,
int
flags );
 
149
int
templateWindowSize = 7,
int
searchWindowSize = 21);
 
176
const
std::vector<float>& h,
 
177
int
templateWindowSize = 7,
int
searchWindowSize = 21,
 
199
float
h = 3,
float
hColor = 3,
 
200
int
templateWindowSize = 7,
int
searchWindowSize = 21);
 
226
int
imgToDenoiseIndex,
int
temporalWindowSize,
 
227
float
h = 3,
int
templateWindowSize = 7,
int
searchWindowSize = 21);
 
255
int
imgToDenoiseIndex,
int
temporalWindowSize,
 
256
const
std::vector<float>& h,
 
257
int
templateWindowSize = 7,
int
searchWindowSize = 21,
 
284
int
imgToDenoiseIndex,
int
temporalWindowSize,
 
285
float
h = 3,
float
hColor = 3,
 
286
int
templateWindowSize = 7,
int
searchWindowSize = 21);
 
325
CV_EXPORTS_W
void
denoise_TVL1(
const
std::vector<Mat>& observations,
Mat& result,
double
lambda=1.0,
int
niters=30);
 
332
enum
{ LDR_SIZE = 256 };
 
344
CV_WRAP
virtual
void
process(InputArray src,
OutputArray
dst) = 0;
 
346
CV_WRAP
virtual
float
getGamma()
const
= 0;
 
347
CV_WRAP
virtual
void
setGamma(
float
gamma) = 0;
 
372
CV_WRAP
virtual
float
getSaturation()
const
= 0;
 
373
CV_WRAP
virtual
void
setSaturation(
float
saturation) = 0;
 
375
CV_WRAP
virtual
float
getBias()
const
= 0;
 
376
CV_WRAP
virtual
void
setBias(
float
bias) = 0;
 
400
CV_WRAP
virtual
float
getIntensity()
const
= 0;
 
401
CV_WRAP
virtual
void
setIntensity(
float
intensity) = 0;
 
403
CV_WRAP
virtual
float
getLightAdaptation()
const
= 0;
 
404
CV_WRAP
virtual
void
setLightAdaptation(
float
light_adapt) = 0;
 
406
CV_WRAP
virtual
float
getColorAdaptation()
const
= 0;
 
407
CV_WRAP
virtual
void
setColorAdaptation(
float
color_adapt) = 0;
 
420
createTonemapReinhard(
float
gamma = 1.0f,
float
intensity = 0.0f,
float
light_adapt = 1.0f,
float
color_adapt = 0.0f);
 
431
CV_WRAP
virtual
float
getScale()
const
= 0;
 
432
CV_WRAP
virtual
void
setScale(
float
scale) = 0;
 
434
CV_WRAP
virtual
float
getSaturation()
const
= 0;
 
435
CV_WRAP
virtual
void
setSaturation(
float
saturation) = 0;
 
461
CV_WRAP
virtual
void
process(InputArrayOfArrays src, std::vector<Mat>& dst,
 
462
InputArray times, InputArray response) = 0;
 
477
CV_WRAP
virtual
void
process(InputArrayOfArrays src, std::vector<Mat>& dst,
 
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InputArray times, InputArray response) CV_OVERRIDE = 0;
 
485
CV_WRAP
virtual
void
process(InputArrayOfArrays src, std::vector<Mat>& dst) = 0;
 
493
CV_WRAP
virtual
Point
calculateShift(InputArray img0, InputArray img1) = 0;
 
509
CV_WRAP
virtual
int
getMaxBits()
const
= 0;
 
510
CV_WRAP
virtual
void
setMaxBits(
int
max_bits) = 0;
 
512
CV_WRAP
virtual
int
getExcludeRange()
const
= 0;
 
513
CV_WRAP
virtual
void
setExcludeRange(
int
exclude_range) = 0;
 
515
CV_WRAP
virtual
bool
getCut()
const
= 0;
 
516
CV_WRAP
virtual
void
setCut(
bool
value) = 0;
 
540
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst, InputArray times) = 0;
 
552
CV_WRAP
virtual
float
getLambda()
const
= 0;
 
553
CV_WRAP
virtual
void
setLambda(
float
lambda) = 0;
 
555
CV_WRAP
virtual
int
getSamples()
const
= 0;
 
556
CV_WRAP
virtual
void
setSamples(
int
samples) = 0;
 
558
CV_WRAP
virtual
bool
getRandom()
const
= 0;
 
559
CV_WRAP
virtual
void
setRandom(
bool
random) = 0;
 
580
CV_WRAP
virtual
int
getMaxIter()
const
= 0;
 
581
CV_WRAP
virtual
void
setMaxIter(
int
max_iter) = 0;
 
583
CV_WRAP
virtual
float
getThreshold()
const
= 0;
 
584
CV_WRAP
virtual
void
setThreshold(
float
threshold) = 0;
 
586
CV_WRAP
virtual
Mat
getRadiance()
const
= 0;
 
609
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst,
 
610
InputArray times, InputArray response) = 0;
 
621
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst,
 
622
InputArray times, InputArray response) CV_OVERRIDE = 0;
 
623
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst, InputArray times) = 0;
 
644
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst,
 
645
InputArray times, InputArray response) CV_OVERRIDE = 0;
 
651
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst) = 0;
 
653
CV_WRAP
virtual
float
getContrastWeight()
const
= 0;
 
654
CV_WRAP
virtual
void
setContrastWeight(
float
contrast_weiht) = 0;
 
656
CV_WRAP
virtual
float
getSaturationWeight()
const
= 0;
 
657
CV_WRAP
virtual
void
setSaturationWeight(
float
saturation_weight) = 0;
 
659
CV_WRAP
virtual
float
getExposureWeight()
const
= 0;
 
660
CV_WRAP
virtual
void
setExposureWeight(
float
exposure_weight) = 0;
 
670
createMergeMertens(
float
contrast_weight = 1.0f,
float
saturation_weight = 1.0f,
float
exposure_weight = 0.0f);
 
680
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst,
 
681
InputArray times, InputArray response) CV_OVERRIDE = 0;
 
682
CV_WRAP
virtual
void
process(InputArrayOfArrays src,
OutputArray
dst, InputArray times) = 0;
 
756
float
green_mul = 1.0f,
float
blue_mul = 1.0f);
 
770
float
alpha = 0.2f,
float
beta = 0.4f);
 
788
float
low_threshold = 30,
float
high_threshold = 45,
 
789
int
kernel_size = 3);
 
813
float
sigma_s = 60,
float
sigma_r = 0.4f);
 
823
float
sigma_r = 0.15f);
 
838
float
sigma_s = 60,
float
sigma_r = 0.07f,
float
shade_factor = 0.02f);
 
850
float
sigma_r = 0.45f);
 
This type is very similar to InputArray except that it is used for input/output and output function p...
Definition:
mat.hpp:295
 
This is a base class for all more or less complex algorithms in OpenCV
Definition:
core.hpp:3091
 
The base class for algorithms that align images of the same scene with different exposures
Definition:
photo.hpp:451
 
This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminan...
Definition:
photo.hpp:475
 
The base class for camera response calibration algorithms.
Definition:
photo.hpp:532
 
Inverse camera response function is extracted for each brightness value by minimizing an objective fu...
Definition:
photo.hpp:550
 
Inverse camera response function is extracted for each brightness value by minimizing an objective fu...
Definition:
photo.hpp:578
 
n-dimensional dense array class
Definition:
mat.hpp:802
 
The resulting HDR image is calculated as weighted average of the exposures considering exposure value...
Definition:
photo.hpp:619
 
The base class algorithms that can merge exposure sequence to a single image.
Definition:
photo.hpp:599
 
Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combine...
Definition:
photo.hpp:642
 
The resulting HDR image is calculated as weighted average of the exposures considering exposure value...
Definition:
photo.hpp:678
 
Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarith...
Definition:
photo.hpp:369
 
Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range.
Definition:
photo.hpp:337
 
This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid,...
Definition:
photo.hpp:429
 
This is a global tonemapping operator that models human visual system.
Definition:
photo.hpp:398
 
@ NORM_L2
Definition:
base.hpp:185
 
CV_EXPORTS_W double threshold(InputArray src, OutputArray dst, double thresh, double maxval, int type)
Applies a fixed-level threshold to each array element.
 
CV_EXPORTS_W void seamlessClone(InputArray src, InputArray dst, InputArray mask, Point p, OutputArray blend, int flags)
Image editing tasks concern either global changes (color/intensity corrections, filters,...
 
CV_EXPORTS_W void colorChange(InputArray src, InputArray mask, OutputArray dst, float red_mul=1.0f, float green_mul=1.0f, float blue_mul=1.0f)
Given an original color image, two differently colored versions of this image can be mixed seamlessly...
 
CV_EXPORTS_W void illuminationChange(InputArray src, InputArray mask, OutputArray dst, float alpha=0.2f, float beta=0.4f)
Applying an appropriate non-linear transformation to the gradient field inside the selection and then...
 
CV_EXPORTS_W void textureFlattening(InputArray src, InputArray mask, OutputArray dst, float low_threshold=30, float high_threshold=45, int kernel_size=3)
By retaining only the gradients at edge locations, before integrating with the Poisson solver,...
 
@ MONOCHROME_TRANSFER
Definition:
photo.hpp:721
 
@ NORMAL_CLONE
Definition:
photo.hpp:716
 
@ MIXED_CLONE
Definition:
photo.hpp:719
 
CV_EXPORTS_W void decolor(InputArray src, OutputArray grayscale, OutputArray color_boost)
Transforms a color image to a grayscale image. It is a basic tool in digital printing,...
 
CV_EXPORTS_W void fastNlMeansDenoisingMulti(InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, int templateWindowSize=7, int searchWindowSize=21)
Modification of fastNlMeansDenoising function for images sequence where consecutive images have been ...
 
CV_EXPORTS_W void denoise_TVL1(const std::vector< Mat > &observations, Mat &result, double lambda=1.0, int niters=30)
Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,...
 
CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti(InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21)
Modification of fastNlMeansDenoisingMulti function for colored images sequences
 
CV_EXPORTS_W void fastNlMeansDenoising(InputArray src, OutputArray dst, float h=3, int templateWindowSize=7, int searchWindowSize=21)
Perform image denoising using Non-local Means Denoising algorithm http://www.ipol....
 
CV_EXPORTS_W void fastNlMeansDenoisingColored(InputArray src, OutputArray dst, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21)
Modification of fastNlMeansDenoising function for colored images
 
CV_EXPORTS_W Ptr< MergeRobertson > createMergeRobertson()
Creates MergeRobertson object
 
CV_EXPORTS_W Ptr< AlignMTB > createAlignMTB(int max_bits=6, int exclude_range=4, bool cut=true)
Creates AlignMTB object
 
CV_EXPORTS_W Ptr< CalibrateDebevec > createCalibrateDebevec(int samples=70, float lambda=10.0f, bool random=false)
Creates CalibrateDebevec object
 
CV_EXPORTS_W Ptr< Tonemap > createTonemap(float gamma=1.0f)
Creates simple linear mapper with gamma correction
 
CV_EXPORTS_W Ptr< TonemapDrago > createTonemapDrago(float gamma=1.0f, float saturation=1.0f, float bias=0.85f)
Creates TonemapDrago object
 
CV_EXPORTS_W Ptr< TonemapMantiuk > createTonemapMantiuk(float gamma=1.0f, float scale=0.7f, float saturation=1.0f)
Creates TonemapMantiuk object
 
CV_EXPORTS_W Ptr< MergeMertens > createMergeMertens(float contrast_weight=1.0f, float saturation_weight=1.0f, float exposure_weight=0.0f)
Creates MergeMertens object
 
CV_EXPORTS_W Ptr< MergeDebevec > createMergeDebevec()
Creates MergeDebevec object
 
CV_EXPORTS_W Ptr< TonemapReinhard > createTonemapReinhard(float gamma=1.0f, float intensity=0.0f, float light_adapt=1.0f, float color_adapt=0.0f)
Creates TonemapReinhard object
 
CV_EXPORTS_W Ptr< CalibrateRobertson > createCalibrateRobertson(int max_iter=30, float threshold=0.01f)
Creates CalibrateRobertson object
 
CV_EXPORTS_W void inpaint(InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags)
Restores the selected region in an image using the region neighborhood.
 
@ INPAINT_NS
Use Navier-Stokes based method
Definition:
photo.hpp:96
 
@ INPAINT_TELEA
Use the algorithm proposed by Alexandru Telea
Definition:
photo.hpp:97
 
CV_EXPORTS_W void stylization(InputArray src, OutputArray dst, float sigma_s=60, float sigma_r=0.45f)
Stylization aims to produce digital imagery with a wide variety of effects not focused on photorealis...
 
CV_EXPORTS_W void pencilSketch(InputArray src, OutputArray dst1, OutputArray dst2, float sigma_s=60, float sigma_r=0.07f, float shade_factor=0.02f)
Pencil-like non-photorealistic line drawing
 
CV_EXPORTS_W void edgePreservingFilter(InputArray src, OutputArray dst, int flags=1, float sigma_s=60, float sigma_r=0.4f)
Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filte...
 
CV_EXPORTS_W void detailEnhance(InputArray src, OutputArray dst, float sigma_s=10, float sigma_r=0.15f)
This filter enhances the details of a particular image.
 
@ RECURS_FILTER
Recursive Filtering
Definition:
photo.hpp:799
 
@ NORMCONV_FILTER
Normalized Convolution Filtering
Definition:
photo.hpp:800
 
"black box" representation of the file storage associated with a file on disk.
Definition:
aruco.hpp:75
 
Definition:
cvstd_wrapper.hpp:74