Patent ID: 9210335
Filing Date: 2015-12-08
Classification: G06T,H04N

Abstract:
1. A method for generating a high dynamic range (HDR) image from a set of multiple images having different exposure levels, comprising: detecting ghost-inducing objects in the set of multiple images to generate a ghost map for each image, each pixel of the ghost map representing a ghost-weight of a corresponding pixel in the corresponding image; and generating the HDR image using the set of multiple images, the corresponding ghost maps, and a set of corresponding weight functions, wherein each pixel of the HDR image is a weighted sum of contributions from each of the multiple images weighted by a weighting factor, the weighting factor for each pixel of each image being a product of the ghost-weight for the pixel of the image and a weight value for the pixel of the image, the weight value being calculated from the weight function corresponding to the image, wherein each weight function is a function of pixel intensity, and the weight functions for all images are defined over a common pixel intensity range, wherein the weight functions for at least some of the images are different from each other, wherein for a first weight function for a first image, its values in a first region near a higher end of the intensity range are higher than corresponding values in a corresponding second region near a lower end of the intensity range, the first region and the second region being symmetrical to each other with respect to a midpoint of the intensity range, and wherein for a second weight function for a second image having a higher exposure level than the first image, its values in a first region near the lower end of the intensity range are higher than corresponding values in a corresponding second region near the higher end of the intensity range, the first region and the second region being symmetrical to each other with respect to the midpoint of the intensity range.