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DLPC3479 Datasheet(PDF) 36 Page - Texas Instruments

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Part # DLPC3479
Description  Display and Light Controller
PDF  61 Pages
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Manufacturer  TI1 [Texas Instruments]
Direct Link  http://www.ti.com
Logo TI1 - Texas Instruments

DLPC3479 Datasheet(HTML) 36 Page - Texas Instruments

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DLPC3479
DLPS112 – JUNE 2018
www.ti.com
Product Folder Links: DLPC3479
Submit Documentation Feedback
Copyright © 2018, Texas Instruments Incorporated
Since the R, G, and B channels can be gained up by CAIC inside the DLPC3479, 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 18 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 18. CAIC Power Reduction Mode (for Constant Brightness)
8.3.8 Local Area Brightness Boost (LABB)
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
receive no gain, the overall perceived brightness of the image is boosted.
Figure 19 shows a split screen example of the impact of the LABB algorithm for an image that includes dark
areas.
Figure 19. Boosting Brightness in Local Areas of an Image



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