ZHCSIG4A July 2018 – June 2019 DLPC3434
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 14 shows a split screen example of the impact of the LABB algorithm for an image that includes dark areas.
LABB works best when the decision about the strength of gains used is determined by ambient light conditions. For this reason, there is an option to add an ambient light sensor which can be read by the DLPC3434 during each frame. Based on the sensor readings, LABB will apply higher gains for bright rooms to help overcome any washing out of images. LABB will apply lower gains in dark rooms to prevent over-punching of images.