add_image — Add two images.
add_image(Image1, Image2 : ImageResult : Mult, Add : )
The operator add_image adds two images. The gray values
(g1,g2) of the input images (Image1 and
Image2) are transformed as follows:
g' := (g1 + g2) * Mult + Add
If an overflow or an underflow occurs the values are clipped.
Note that this is not the case with cyclic and direction images.
The resulting image is stored in ImageResult.
It is possible to add byte images with int2, uint2 or int4 images and to add int4 to int2 or uint2 images. In this case the result will be of type int2 or int4 respectively.
Several images can be processed in one call. In this case both input parameters contain the same number of images which are then processed in pairs. An output image is generated for every pair.
Please note that the runtime of the operator varies with different
control parameters. For frequently used combinations special
optimizations are used. Additionally, for byte, int2, uint2, and int4
images special optimizations are implemented that use SIMD technology.
The actual application of these special optimizations is controlled by the
system parameter 'mmx_enable' (see set_system).
If 'mmx_enable' is set to 'true' (and the SIMD
instruction set is available), the internal calculations are performed
using SIMD technology.
add_image can be executed on an OpenCL device for byte, int1, int2,
uint2, int4, real, direction, cyclic, and complex images. However, since
for OpenCL 1.0 only single precision floating point is supported for all
devices, and not all rounding modes are supported, the OpenCL implementation
can produce slightly different results from the scalar or SIMD
implementations.
Note that the acceleration gained by SIMD technology is highest on large,
compact input regions. However, in rare cases, the execution of add_image
might take significantly longer with SIMD technology than without,
depending on the input region and the capabilities of
the hardware. In these cases, the use of SIMD
technology can be avoided by set_system(::'mmx_enable','false':).
Image1 (input_object) (multichannel-)image(-array) → object (byte* / int1* / int2* / uint2* / int4* / int8 / real* / direction* / cyclic* / complex*) *allowed for compute devices
Image(s) 1.
Image2 (input_object) (multichannel-)image(-array) → object (byte* / int1* / int2* / uint2* / int4* / int8 / real* / direction* / cyclic* / complex*) *allowed for compute devices
Image(s) 2.
ImageResult (output_object) (multichannel-)image(-array) → object (byte / int1 / int2 / uint2 / int4 / int8 / real / direction / cyclic / complex)
Result image(s) by the addition.
Mult (input_control) number → (real / integer)
Factor for gray value adaption.
Default: 0.5
Suggested values: 0.2, 0.4, 0.6, 0.8, 1.0, 1.5, 2.0, 3.0, 5.0
Value range:
-255.0
≤
Mult
≤
255.0
Minimum increment: 0.001
Recommended increment: 0.1
Add (input_control) number → (real / integer)
Value for gray value range adaption.
Default: 0
Suggested values: 0, 64, 128, 255, 512
Value range:
-512.0
≤
Add
≤
512.0
Minimum increment: 0.01
Recommended increment: 1.0
read_image(Image1,'fabrik') dev_display (Image1) read_image(Image2,'monkey') dev_display (Image2) add_image(Image1,Image2,Result,0.5,10.0) dev_display (Result)
The operator add_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>:)
If necessary an exception is raised.
Foundation