Updated documentation

This commit is contained in:
Erik Karlsson 2015-03-03 01:34:29 +01:00
parent ac6771f975
commit d56d04e41b

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@ -119,7 +119,7 @@ CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
optimizations. Noise expected to be a gaussian white noise
@param src Input 8-bit 1-channel, 2-channel or 3-channel image.
@param src Input 8-bit 1-channel, 2-channel, 3-channel or 4-channel image.
@param dst Output image with the same size and type as src .
@param templateWindowSize Size in pixels of the template patch that is used to compute weights.
Should be odd. Recommended value 7 pixels
@ -144,7 +144,7 @@ with several computational optimizations. Noise expected to be a
gaussian white noise. Uses squared sum of absolute value distances
instead of sum of squared distances for weight calculation
@param src Input 8-bit or 16-bit 1-channel, 2-channel or 3-channel image.
@param src Input 8-bit or 16-bit 1-channel, 2-channel, 3-channel or 4-channel image.
@param dst Output image with the same size and type as src .
@param templateWindowSize Size in pixels of the template patch that is used to compute weights.
Should be odd. Recommended value 7 pixels
@ -190,8 +190,9 @@ captured in small period of time. For example video. This version of the functio
images or for manual manipulation with colorspaces. For more details see
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394>
@param srcImgs Input 8-bit 1-channel, 2-channel or 3-channel images sequence. All images should
have the same type and size.
@param srcImgs Input 8-bit 1-channel, 2-channel, 3-channel or
4-channel images sequence. All images should have the same type and
size.
@param imgToDenoiseIndex Target image to denoise index in srcImgs sequence
@param temporalWindowSize Number of surrounding images to use for target image denoising. Should
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
@ -220,9 +221,9 @@ details see
squared sum of absolute value distances instead of sum of squared
distances for weight calculation
@param srcImgs Input 8-bit or 16-bit 1-channel, 2-channel or 3-channel
images sequence. All images should
have the same type and size.
@param srcImgs Input 8-bit or 16-bit 1-channel, 2-channel, 3-channel
or 4-channel images sequence. All images should have the same type and
size.
@param imgToDenoiseIndex Target image to denoise index in srcImgs sequence
@param temporalWindowSize Number of surrounding images to use for target image denoising. Should
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to