scale_image ( Image : ImageScaled : Mult, Add : )

Scale the gray values of an image.

The operator scale_image scales the input images (Image) by the following transformation:

                     g' := g * Mult + Add
If an overflow or an underflow occurs the values are clipped.

This operator can be applied, e.g., to map the gray values of an image, i.e., the interval [GMin,GMax], to the maximum range [0:255]. For this, the parameters are chosen as follows:


      Mult = 255 / (GMax-GMin)         Add  = - Mult*GMin 

The values for GMin and GMax can be determined, e.g., with the operator min_max_gray.


Parameters

Image (input_object)
(multichannel-)image(-array) -> object : byte / int1 / int2 / uint2 / int4 / real / direction / cyclic / complex
Image(s) whose gray values are to be scaled.

ImageScaled (output_object)
(multichannel-)image(-array) -> object : byte / int1 / int2 / uint2 / int4 / real / direction / cyclic / complex
Result image(s) by the scale.

Mult (input_control)
number -> real / integer
Scale factor.
Default value: 0.01
Suggested values: 0.001, 0.003, 0.005, 0.008, 0.01, 0.02, 0.03, 0.05, 0.08, 0.1, 0.5, 1.0
Typical range of values: -255.0 <= Mult <= 255.0
Minimum increment: 0.001
Recommended increment: 0.1

Add (input_control)
number -> real / integer
Offset.
Default value: 0
Suggested values: 0, 10, 50, 100, 200, 500
Typical range of values: -512.0 <= Add <= 512.0
Minimum increment: 0.01
Recommended increment: 1.0


Example
/* Complement of the gray values:  */
scale_image(Bild,Invert,-1.0,255.0,).

Result

The operator scale_image returns the value 2 (H_MSG_TRUE) if the parameters are correct. The behavior in case of empty input (no input images available) is set via the operator set_system(::'no_object_result',<Result>:) Otherwise an exception treatment is carried out.


Parallelization Information

scale_image is reentrant and automatically parallelized (on tuple level, channel level, domain level).


Possible Predecessors

min_max_gray


Alternatives

mult_image, add_image, sub_image


See also

min_max_gray


Module

Image filters



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