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DLPC3435 Datasheet(PDF) 33 Page - Texas Instruments

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Part # DLPC3435
Description  Display Controller
PDF  59 Pages
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Manufacturer  TI1 [Texas Instruments]
Direct Link  http://www.ti.com
Logo TI1 - Texas Instruments

DLPC3435 Datasheet(HTML) 33 Page - Texas Instruments

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DLPC3430, DLPC3435
www.ti.com
DLPS038B – JULY 2014 – REVISED FEBRUARY 2016
Product Folder Links: DLPC3430 DLPC3435
Submit Documentation Feedback
Copyright © 2014–2016, Texas Instruments Incorporated
Since the R, G, and B channels can be gained up by CAIC inside the DLPC343x, the LED power can be turned
down for any color channel until the brightness of the color on the screen is unchanged. Thus, CAIC can achieve
an overall LED power reduction while maintaining the same overall image brightness as if CAIC was not used.
Figure 17 shows an example of LED power reduction by CAIC for an image where the R and B LEDs can be
turned down in power.
CAIC can alternatively be used to increase the overall brightness of an image while holding the total power for all
LEDs constant. In summary, when CAIC is enabled CAIC can operate in one of two distinct modes:
•
Power Reduction Mode – holds overall image brightness constant while reducing LED power
•
Enhanced Brightness Mode – holds overall LED power constant while enhancing image brightness
Figure 17. CAIC Power Reduction Mode (for Constant Brightness)
8.3.7 Local Area Brightness Boost
Local area brightness boost (LABB), is an image processing algorithm that adaptively gains up regions of an
image that are dim relative to the average picture level. Some regions of the image will have significant gain
applied, and some regions will have little or no gain applied. LABB evaluates images frame by frame and derives
the local area gains to be used uniquely for each image. Since many images have a net overall boost in gain
even if some parts of the image get no gain, the overall perceived brightness of the image is boosted.
Figure 18 shows a split screen example of the impact of the LABB algorithm for an image that includes dark
areas.
Figure 18. Boosting Brightness in Local Areas of an Image



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