Abstract: Baseline update for input object detection includes determining raw measurements from resulting signals acquired for a sensing region, obtaining a masked region of the sensing region based on the raw measurements, and generating a baseline update value using a subset of the raw measurements corresponding to an unmasked region. A baseline value of the masked region is updated using the baseline update value to obtain an updated baseline. A location of an input object is detected using the updated baseline.

Abstract: Baseline update for input object detection includes determining raw measurements from resulting signals acquired for a sensing region, obtaining a masked region of the sensing region based on the raw measurements, and generating a baseline update value using a subset of the raw measurements corresponding to an unmasked region. A baseline value of the masked region is updated using the baseline update value to obtain an updated baseline. A location of an input object is detected using the updated baseline.

Abstract: Baseline update for input object detection includes determining raw measurements from resulting signals acquired for a sensing region, obtaining a masked region of the sensing region based on the raw measurements, and generating a baseline update value using a subset of the raw measurements corresponding to an unmasked region. A baseline value of the masked region is updated using the baseline update value to obtain an updated baseline. A location of an input object is detected using the updated baseline.

Abstract: Baseline update for input object detection includes determining raw measurements from resulting signals acquired for a sensing region, obtaining a masked region of the sensing region based on the raw measurements, and generating a baseline update value using a subset of the raw measurements corresponding to an unmasked region. A baseline value of the masked region is updated using the baseline update value to obtain an updated baseline. A location of an input object is detected using the updated baseline.

Abstract: Adaptive contrast enhancement of image data is provided. In one embodiment a method for adaptive contrast enhancement includes receiving image data for a first frame, determining a pixel distribution for at least one color space component of the first frame based on luminance values of the pixels in the at least one color space and calculating an average picture level in the at least one color space based on the pixel distribution. The method additionally includes adjusting a look-up table (LUT) associated with the pixel distribution based on the average picture level, converting luminance values of the pixels in the first frame in the at least one color space based on the LUT to generate an enhanced image frame and outputting the enhanced image frame.