Module opencv::photo

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Computational Photography

This module includes photo processing algorithms

Inpainting

Denoising

HDR imaging

This section describes high dynamic range imaging algorithms namely tonemapping, exposure alignment, camera calibration with multiple exposures and exposure fusion.

Contrast Preserving Decolorization

Useful links:

http://www.cse.cuhk.edu.hk/leojia/projects/color2gray/index.html

Seamless Cloning

Useful links:

https://www.learnopencv.com/seamless-cloning-using-opencv-python-cpp

Non-Photorealistic Rendering

Useful links:

http://www.inf.ufrgs.br/~eslgastal/DomainTransform

https://www.learnopencv.com/non-photorealistic-rendering-using-opencv-python-c/

C API

Modules

Structs

  • AlignExposures
    The base class for algorithms that align images of the same scene with different exposures
  • AlignMTB
    This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations.
  • CalibrateCRF
    The base class for camera response calibration algorithms.
  • CalibrateDebevec
    Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. Objective function is constructed using pixel values on the same position in all images, extra term is added to make the result smoother.
  • CalibrateRobertson
    Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels.
  • MergeDebevec
    The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
  • MergeExposures
    The base class algorithms that can merge exposure sequence to a single image.
  • MergeMertens
    Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.
  • MergeRobertson
    The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
  • Tonemap
    Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range.
  • TonemapDrago
    Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.
  • TonemapMantiuk
    This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. After this the image is reconstructed from new contrast values.
  • TonemapReinhard
    This is a global tonemapping operator that models human visual system.

Constants

  • INPAINT_NS
    Use Navier-Stokes based method
  • INPAINT_TELEA
    Use the algorithm proposed by Alexandru Telea Telea04
  • LDR_SIZE
  • MIXED_CLONE
    The classic method, color-based selection and alpha masking might be time consuming and often leaves an undesirable halo. Seamless cloning, even averaged with the original image, is not effective. Mixed seamless cloning based on a loose selection proves effective.
  • MONOCHROME_TRANSFER
    Monochrome transfer allows the user to easily replace certain features of one object by alternative features.
  • NORMAL_CLONE
    The power of the method is fully expressed when inserting objects with complex outlines into a new background
  • NORMCONV_FILTER
    Normalized Convolution Filtering
  • RECURS_FILTER
    Recursive Filtering

Traits

Functions