emphasize — Enhance contrast of the image.
emphasize(Image : ImageEmphasize : MaskWidth, MaskHeight, Factor : )
The operator emphasize emphasizes high frequency areas of the
image (edges and corners). The resulting images appears sharper.
First the procedure carries out a filtering with the low pass
(mean_image). The resulting gray values (res) are calculated
from the obtained gray values (mean) and the original gray values
(orig) as follows:
res := round((orig - mean) * Factor) + orig
Factor serves as measurement of the increase in contrast.
The division frequency is determined via the size of the filter matrix:
The larger the matrix, the lower the division frequency.
As an edge treatment the gray values are mirrored at the edges of the image. Overflow and/or underflow of gray values is clipped.
Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Image (input_object) (multichannel-)image(-array) → object (byte / int2 / uint2)
Image to be enhanced.
ImageEmphasize (output_object) (multichannel-)image(-array) → object (byte / int2 / uint2)
contrast enhanced image.
MaskWidth (input_control) extent.x → (integer)
Width of low pass mask.
Default: 7
Suggested values: 3, 5, 7, 9, 11, 15, 21, 25, 31, 39
Value range:
3
≤
MaskWidth
Minimum increment: 2
Recommended increment: 2
MaskHeight (input_control) extent.y → (integer)
Height of the low pass mask.
Default: 7
Suggested values: 3, 5, 7, 9, 11, 15, 21, 25, 31, 39
Value range:
3
≤
MaskHeight
Minimum increment: 2
Recommended increment: 2
Factor (input_control) real → (real)
Intensity of contrast emphasis.
Default: 1.0
Suggested values: 0.3, 0.5, 0.7, 1.0, 1.4, 1.8, 2.0
Value range:
0.0
≤
Factor
(sqrt)
Recommended increment: 0.2
read_image(Image,'mreut') dev_display (Image) draw_region(Region,WindowHandle) reduce_domain(Image,Region,Mask) emphasize(Mask,Sharp,7,7,2.0) dev_display (Sharp)
If the parameter values are correct the operator emphasize
returns the value 2 (
H_MSG_TRUE)
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.
mean_image,
sub_image,
laplace,
add_image
Foundation