Texas Instruments Corporation

Samsung Electronics Co., Ltd.

Gunawath Dilshan Godaliyadda

Hamid Rahim Sheikh

June Chul Roh

John W Glotzbach

Mayank Mangla

Gang Hua

A method includes obtaining an image and a gain map associated with the image. The method also includes identifying image patches in the image and corresponding gain map patches in the gain map. Different image patches are centered around different anchor points in the image. The method further includes, for each image patch and its corresponding gain map patch, generating an intensity-gain curve for the associated anchor point. The intensity-gain curve specifies (i) gain values based on the corresponding gain map patch for intensity values up to a threshold intensity value and (ii) gain values based on one or more input parameters for intensity values above the threshold intensity value. In addition, the method includes combining the intensity-gain curves to generate a 3D lookup table, which identifies the gain values for the anchor points in the image at each of multiple intensity values.

Generation of three-dimensional (3D) lookup table for tone mapping or other image processing functions

An apparatus includes an inverse radar sensor model processor and a grid mapping processor. The inverse radar sensor model processor receives radar sensor data for a time k from a radar sensor, generates object data based on the radar sensor data, and calculates instantaneous masses at the time k for each cell in a field of view (FOV) of the radar sensor based on the object data and a sensor characteristic. The inverse radar sensor model processor outputs the calculated instantaneous masses to the grid mapping processor, which also receives accumulated masses for each cell in the FOV for a time period 0:k−1. An accumulated mass represents a combination of instantaneous masses for the cell at each time increment in the time period 0:k−1. The grid mapping processor generates updated accumulated masses for a time period 0:k.

Inverse radar sensor model and evidential grid mapping processors

A method for automatic exposure (AE) control is provided that includes receiving statistics for AE control for an image from an image signal processor (ISP) coupled to an image sensor generating the image, computing an exposure value at a current time t (EV(t)) using a cost function based on target characteristics of an image, wherein computation of the cost function uses the statistics, and computing AE settings for the image sensor based on EV(t).

Growing community of inventors

Allen, TX, United States of America

Gunawath Dilshan Godaliyadda