diff --git a/doc/tutorials/contrib/retina_model/retina_model.rst b/doc/tutorials/contrib/retina_model/retina_model.rst index ba80a8d511..a7f8d30afa 100644 --- a/doc/tutorials/contrib/retina_model/retina_model.rst +++ b/doc/tutorials/contrib/retina_model/retina_model.rst @@ -44,7 +44,7 @@ In the following image, as your retina does, local luminance adaptation, spatial :align: center -*Note :* image sample can be downloaded from the `OpenEXR website `_. Regarding this demonstration, before retina processing, input image has been linearly rescaled within 0-255 keeping its channels float format. 5% of its histogram ends has been cut (mostly removes wrong HDR pixels). Check out the sample for similar processing. The following demonstration will only consider classical 8bit/channel images. +*Note :* image sample can be downloaded from the `OpenEXR website `_. Regarding this demonstration, before retina processing, input image has been linearly rescaled within 0-255 keeping its channels float format. 5% of its histogram ends has been cut (mostly removes wrong HDR pixels). Check out the sample *opencv/samples/cpp/OpenEXRimages_HighDynamicRange_Retina_toneMapping.cpp* for similar processing. The following demonstration will only consider classical 8bit/channel images. The retina model output channels ================================ @@ -364,7 +364,7 @@ The most simple parameters are the following : **Note :** using color requires color channels multiplexing/demultipexing which requires more processing. You can expect much faster processing using gray levels : it would require around 30 product per pixel for all the retina processes and it has recently been parallelized for multicore architectures. Photo-receptors parameters -------------------------- +-------------------------- The following parameters act on the entry point of the retina - photo-receptors - and impact all the following processes. These sensors are low pass spatio-temporal filters that smooth temporal and spatial data and also adjust there sensitivity to local luminance thus improving details extraction and high frequency noise canceling.