Automatic Gain Correction (Agc) Menu - Videotec ULISSE RADICAL THERMAL Manuel D'instructions

Manual: The DDE algorithm is manually
configured by 3 parameters.
DDE Gain: It represents the high-frequency
3.
gain. When a 0 value is set, the DDE is disabled.
DDE Threshold: Represents the maximum size
4.
of the detail that is magnified.
Spatial Threshold: It represents the pre-filter
5.
threshold (smoothing filter) applied to the
signal.
DIGITAL DATA ENHANCEMENT
------------------------
1>DDE MODE
3 DDE GAIN
4 DDE THRESHOLD :
5 SPATIAL THRES.:
Fig. 72
It is strongly discouraged to use the Manual
mode for DDE.
MNVCUPKT_1838_EN
: MANUAL
: +15974
+130
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8.1.13.7 Automatic Gain Correction (AGC)
menu
It allows you to configure the following parameters:
1. AGC type: You can set from the menu the kind
of automatic control (AGC Type) for image
optimisation.
• Plateau: The plateau equalization algorithm
effects a non-linear transformation based
on the image histogram. This is the default
algorithm and is recommended for the
majority of the scenarios.
• Manual: The Manual algorithm effects a
linear transformation with an inclination
based exclusively on the indicated Contrast
and Brightness values.
• Auto Bright: The Auto-Bright algorithm is
identical to the Manual algorithm except
for the brightness value that is updated
automatically.
• Once Bright: The Once Bright algorithm is
identical to the Auto Bright algorithm except
for the offset of the linear transformation. The
offset is only calculated at the moment when
the algorithm is selected and is not updated
dynamically.
• Linear: The linear equalization algorithm
performs a linear transformation based on
image histogram.
• Information-based: The information-based
algorithms retain more grey tones for the
portions of the image with more information,
assigning fewer grey tones to the portions
of the image with less information content.
Information-based algorithms exclude the
pixels from the histogram equalization
process if their value is below the information
threshold.
• Information-based Equalization: The
information-based Equalization algorithm
includes all the pixels in the histogram
equalization process regardless of the scene
information content. The algorithm weighs
each pixel according to the value of the
information threshold.
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