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;
; NAME:
; cgASinHScl
;
; PURPOSE:
; This is a utility routine to perform an inverse hyperbolic sine
; function intensity transformation on an image. I think of this
; as a sort of "tuned" gamma or power-law function. The algorithm,
; and notion of "asinh magnitudes", comes from a paper by Lupton,
; et. al, in The Astronomical Journal, 118:1406-1410, 1999 September.
; I've relied on the implementation of Erin Sheldon, found here:
;
; http://cheops1.uchicago.edu/idlhelp/sdssidl/plotting/tvasinh.html
;
;******************************************************************************************;
; ;
; Copyright (c) 2015, by Fanning Software Consulting, Inc. All rights reserved. ;
; ;
; Redistribution and use in source and binary forms, with or without ;
; modification, are permitted provided that the following conditions are met: ;
; ;
; * Redistributions of source code must retain the above copyright ;
; notice, this list of conditions and the following disclaimer. ;
; * Redistributions in binary form must reproduce the above copyright ;
; notice, this list of conditions and the following disclaimer in the ;
; documentation and/or other materials provided with the distribution. ;
; * Neither the name of Fanning Software Consulting, Inc. nor the names of its ;
; contributors may be used to endorse or promote products derived from this ;
; software without specific prior written permission. ;
; ;
; THIS SOFTWARE IS PROVIDED BY FANNING SOFTWARE CONSULTING, INC. ''AS IS'' AND ANY ;
; EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES ;
; OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT ;
; SHALL FANNING SOFTWARE CONSULTING, INC. BE LIABLE FOR ANY DIRECT, INDIRECT, ;
; INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED ;
; TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; ;
; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ;
; ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT ;
; (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS ;
; SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ;
;******************************************************************************************;
;
;+
; This is a utility routine to perform an inverse hyperbolic sine
; function intensity transformation on an image. I think of this
; as a sort of "tuned" gamma or power-law function. The algorithm,
; and notion of "asinh magnitudes", comes from a paper by Lupton,
; et. al, in The Astronomical Journal, 118:1406-1410, 1999 September.
; I've relied on the implementation of Erin Sheldon, found here::
;
; http://cheops1.uchicago.edu/idlhelp/sdssidl/plotting/tvasinh.html
;
; I'm also grateful of discussions with Marshall Perrin on the IDL
; newsgroup with respect to the meaning of the "softening parameter", beta,
; and for finding (and fixing!) small problems with the code.
;
; Essentially this transformation allow linear scaling of noise values,
; and logarithmic scaling of signal values, since there is a small
; linear portion of the curve and a much large logarithmic portion of
; the curve. (See the EXAMPLE section for some tips on how to view this
; transformation curve.)
;
; :Categories:
; Image Processing
;
; :Examples:
; Plot various values of beta::
; cgPlot, cgASinhScl(Indgen(256), Beta=0.0), LineStyle=0
; cgOPlot, cgASinhScl(Indgen(256), Beta=0.1), LineStyle=1
; cgOPlot, cgASinhScl(Indgen(256), Beta=1.0), LineStyle=2
; cgOPlot, cgASinhScl(Indgen(256), Beta=10.), LineStyle=3
; cgOPlot, cgASinhScl(Indgen(256), Beta=100), LineStyle=4
;
; :Author:
; FANNING SOFTWARE CONSULTING::
; David W. Fanning
; 1645 Sheely Drive
; Fort Collins, CO 80526 USA
; Phone: 970-221-0438
; E-mail: david@idlcoyote.com
; Coyote's Guide to IDL Programming: http://www.idlcoyote.com
;
; :History:
; Change History::
; Written by: David W. Fanning, 24 February 2006.
; Removed ALPHA keyword and redefined the BETA keyword to correspond
; to the "softening parameter" of Lupton et. al., following the
; suggestions of Marshall Perrin. 25 April 2006. DWF.
; Renamed cgASinhScl from ASinhScl. 27 March 2015. DWF.
; Yikes! Two instances of naming problems from 2015! Fixed. 8 July 2016. DWF.
;
; :Copyright:
; Copyright (c) 2008-2016, Fanning Software Consulting, Inc.
;-
;+
; Return the inverse hyperbolic sine of the argument. Taken from the NASA
; IDL Astronomy Library and renamed for use in this program. The inverse
; hyperbolic sine is used for the calculation of asinh magnitudes, see
; Lupton et al. (1999, AJ, 118, 1406). Expression given in Numerical Recipes,
; Press et al. (1992), eq. 5.6.7. Note that asinh(-x) = -asinh(x) and that
; asinh(0) = 0. and that if y = asinh(x) then x = sinh(y).
;
; :Returns:
; The inverse hyperbolic sine is returned. The output has the same number
; of elements as X and is double precision if X is double, otherwise floating point.
;
; :Params:
; x: in, required
; The hyperbolic sine, numeric scalar or vector or multidimensional array
; (not complex).
;-
FUNCTION cgASinhScl_ASinh, x
On_Error, 2
y = ALog( Abs(x) + SQRT( x^2 + 1.0) )
index = Where(x LT 0 ,count)
IF count GT 0 THEN y[index] = -y[index]
RETURN, y
END ;-------------------------------------------------------------------------------
;+
;
; The main cgASinhScl function.
;
; :Returns:
; A byte scaled image is returned.
;
; :Params:
; image: in, required
; The image to be scaled. Written for 2D images, but arrays of any size are treated alike.
;
; :Keywords:
; beta: in, optional, type=float, default=3.0
; This keyword corresponds to the "softening parameter" in the Lupon et. al paper.
; This factor determines the input level at which linear behavior sets in. Beta
; should be set approximately equal to the amount of "noise" in the input signal.
; If BETA=0 there is a very small linear portion of the curve; if BETA=200 the
; curve is essentially all linear. The default value of BETA is set to 3, which
; is appropriate for a small amount of noise in your signal. The value is always
; positive.
;
; max: in, optional
; Any value in the input image greater than this value is set to this value
; before scaling.
;
; min: in, optional
; Any value in the input image less than this value is set to this value
; before scaling.
;
; negative, in, optional, type=boolean, default=0
; If set, the "negative" of the result is returned.
;
; omax: in, optional, type=byte, default=255
; The output image is scaled between OMIN and OMAX.
;
; omin: in, optional, type=byte, default=0
; The output image is scaled between OMIN and OMAX.
;-
FUNCTION cgASinhScl, image, $
BETA=beta, $
NEGATIVE=negative, $
MAX=maxValue, $
MIN=minValue, $
OMAX=maxOut, $
OMIN=minOut
; Return to caller on error.
On_Error, 2
; Check arguments.
IF N_Elements(image) EQ 0 THEN Message, 'Must pass IMAGE argument.'
; Check for underflow of values near 0. Yuck!
curExcept = !Except
!Except = 0
i = Where(image GT -1e-35 AND image LT 1e-35, count)
IF count GT 0 THEN image[i] = 0.0
void = Check_Math()
!Except = curExcept
; Work in double precision.
output = Double(image)
; Too damn many floating underflow warnings, no matter WHAT I do! :-(
thisExcept = !Except
!Except = 0
; Perform initial scaling of the image into 0 to 1.0.
output = cgScaleVector(Temporary(output), 0.0, 1.0, MaxValue=maxValue, $
MinValue=minValue, /NAN, Double=1)
; Check keywords.
IF N_Elements(beta) EQ 0 THEN beta = 3.0D
IF N_Elements(maxOut) EQ 0 THEN maxOut = 255B ELSE maxout = 0 > Byte(maxOut) < 255
IF N_Elements(minOut) EQ 0 THEN minOut = 0B ELSE minOut = 0 > Byte(minOut) < 255
IF minOut GE maxout THEN Message, 'OMIN must be less than OMAX.'
; Create a non-linear factor from the BETA value.
scaled_beta = ((beta > 0) - minValue)/(maxValue - minValue)
nonlinearity = 1.0D/(scaled_beta > 1e-12)
; Find out where 0 and 1 map in ASINH, then set these as MINVALUE and MAXVALUE
; in next cgScaleVector call. This is necessary to preserve proper scaling.
extrema = cgASinhScl_ASinh([0, 1.0D] * nonlinearity)
; Inverse hyperbolic sine scaling.
output = cgScaleVector(cgASinhScl_ASinh(Temporary(output)*nonlinearity), $
minOut, maxOut, /NAN, Double=1, MinValue=extrema[0], MaxValue=extrema[1])
; Clear math errors.
void = Check_Math()
!Except = thisExcept
; Does the user want the negative result?
IF Keyword_Set(negative) THEN RETURN, BYTE(maxout - Round(output) + minOut) $
ELSE RETURN, BYTE(Round(output))
END ;-------------------------------------------------------------------------------
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