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/*
* Project: SILX: Data analysis library
* kernel for maximum and minimum calculation
*
*
* Copyright (C) 2013-2017 European Synchrotron Radiation Facility
* Grenoble, France
*
* Principal authors: J. Kieffer (kieffer@esrf.fr)
*
* Permission is hereby granted, free of charge, to any person
* obtaining a copy of this software and associated documentation
* files (the "Software"), to deal in the Software without
* restriction, including without limitation the rights to use,
* copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following
* conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
*
*
*/
#ifndef NB_COLOR
#define NB_COLOR 1
#endif
/**
* \brief Linear scale of signal in an image (maybe multi-color)
*
* :param image: contains the input image
* :param output: contains the output image after scaling
* :param max_min_input: 2-floats containing the maximum and the minimum value of image
* :param minimum: float scalar with the minimum of the output
* :param maximum: float scalar with the maximum of the output
* :param width: integer, number of columns the matrices
* :param height: integer, number of lines of the matrices
*
*
*/
kernel void normalize_image(global float* image,
global float* output,
int width,
int height,
global float* max_min_input,
float minimum,
float maximum
)
{
//Global memory guard for padding
if((get_global_id(0) < width) && (get_global_id(1)<height))
{
int idx = NB_COLOR* (get_global_id(0) + width * get_global_id(1));
float mini_in, maxi_in, scale;
maxi_in = max_min_input[0];
mini_in = max_min_input[1];
if (maxi_in == mini_in)
{
scale = NAN;
}
else
{
scale = (maximum - minimum) / (maxi_in - mini_in);
}
for (int c=0; c<NB_COLOR; c++)
{
output[idx+c] = fma(scale, image[idx+c]-mini_in, minimum);
} // end color loop
}//end if in IMAGE
}//end kernel
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