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Open Source Computer Vision Library
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116 lines
4.2 KiB
116 lines
4.2 KiB
12 years ago
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HDR imaging
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==========
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.. highlight:: cpp
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makeHDR
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-----------
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Creates HDR image from a set of bracketed exposures using algorithm by Debevec and Malik.
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"Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
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.. ocv:function:: void makeHDR(InputArrayOfArrays srcImgs, const std::vector<float>& expTimes, OutputArray dst, bool align = false)
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:param src_imgs: vector of 8-bit 3-channel images
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:param exp_times: exposure times for each of source images
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:param dst: output image
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:param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`.
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tonemap
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-----------
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Tonemaps image.
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.. ocv:function:: tonemap(InputArray src, OutputArray dst, int algorithm, const std::vector<float>& params = std::vector<float>())
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:param src: input HDR image
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:param dst: floating-point image in [0; 1] range
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:param algorithm:
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* TONEMAP_LINEAR - simple linear mapping
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* TONEMAP_DRAGO - "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003
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* TONEMAP_REINHARD - "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005
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* TONEMAP_DURAND - "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002
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:param params: vector of parameters for specified algorithm.
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If some parameters are missing default values are used.
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The first element is gamma value for gamma correction.
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* TONEMAP_LINEAR:
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No parameters.
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* TONEMAP_DRAGO:
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params[1] - value for bias function. Range [0.7, 0.9], default 0.85.
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* TONEMAP_REINHARD:
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params[1] - result intensity. Range [-8, 8], default 0.
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params[2] - chromatic adaptation. Range [0, 1], default 0.
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params[3] - light adaptation. Range [0, 1], default 0;
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* TONEMAP_DURAND:
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params[1] - result contrast on logarithmic scale.
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params[2] - bilateral filter sigma in the color space.
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params[3] - bilateral filter sigma in the coordinate space.
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exposureFusion
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-----------
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Fuses a bracketed exposure sequence into a single image without converting to HDR first.
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"Exposure Fusion", Mertens et al., 2007
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.. ocv:function:: exposureFusion(InputArrayOfArrays src_imgs, OutputArray dst, bool align = false, float wc = 1, float ws = 1, float we = 0)
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:param src_imgs: vector of 8-bit 3-channel images
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:param dst: output image. Although it's a floating-point image tonemapping is not necessary.
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:param align: if true, images are first aligned using median threshold bitmap algorithm. See :ocv:func:`getExpShift`.
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:param wc: contrast factor weight
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:param ws: saturation factor weight
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:param we: well-exposedness factor weight
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getExpShift
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-----------
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Calculates translation vector that can be used to align img1 with img0.
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Uses median threshold bitmap algorithm by Ward.
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"Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003
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.. ocv:function:: getExpShift(InputArray img0, InputArray img1, int max_bits = 6, int exclude_range = 4)
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:param img0: 8-bit 1-channel image
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:param img1: 8-bit 1-channel image
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:param max_bits: logarithm to the base 2 of maximal shift in each dimension
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:param exclude_range: range value for exclusion bitmap. Refer to the article.
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shiftMat
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-----------
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Shifts image filling the new regions with zeros.
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.. ocv:function:: shiftMat(InputArray src, Point shift, OutputArray dst)
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:param src: input image
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:param shift: shift vector
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:param dst: output image
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