BARCELONA, Spain, Feb. 25, 2013 /PRNewswire/ -- Today at Mobile World Congress (MWC), Texas Instruments (TI) (NASDAQ: TXN) DLP ® Products premiered the IntelliBright™ system, a new suite of image processing algorithms designed to intelligently boost image brightness and contrast, while also minimizing power consumption. IntelliBright will enhance all classes of new DLP Pico™ products – mobile phones, tablets, digital video players, mobile accessories, and near-eye displays.
True to its name, the IntelliBright algorithms have the ability to intelligently analyze image content real-time and create brighter, higher contrast images without raising net power consumption. For consumers, IntelliBright means clearer, more vivid images in bright lighting conditions as well as longer battery life. For manufacturers, IntelliBright will offer further flexibility to tailor product performance to the specific needs of their customers and markets."We are very excited about the performance enhancements offered by IntelliBright," said Frank Moizio, business unit manager of DLP Pico. "When combined with the resolution and efficiency gains from our recently announced Tilt & Roll Pixel (TRP) architecture, the next generation of DLP Pico products will delight consumers with a whole new level of performance." The IntelliBright suite consists of two distinct, patent-pending algorithms: Content-Adaptive Illumination Control (CAIC) and Local Area Brightness Boost (LABB). Since these algorithms operate autonomously, manufacturers can independently tune them to achieve desired product performance. The CAIC algorithm operates by adjusting red, green and blue illumination strength on a frame-by-frame basis. The algorithm can be configured to maintain "constant image brightness" (which results in lower power consumption) or to maintain "constant illumination power" (which results in higher image brightness). This enables manufacturers to select their desired amount of brightness boost versus power savings. The LABB algorithm also operates on a frame-by-frame basis by identifying "dark areas" and "bright areas" within a frame, then adding a programmable amount of gain to the dark areas, resulting in a more realistic and viewable image.
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