Package org.opencv.photo
package org.opencv.photo
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ClassesClassDescriptionThe base class for algorithms that align images of the same scene with different exposuresThis 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.The base class for camera response calibration algorithms.Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.The base class algorithms that can merge exposure sequence to a single image.Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range.Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response.This is a global tonemapping operator that models human visual system.