SYSTEM AND METHOD FOR GENERATING HIGH DYNAMIC RANGE IMAGES

摘要

A method for generating a high dynamic range (HDR) image from images of a scene obtained at one or more exposure values is disclosed. In this embodiment, one of the obtained images is selected as a reference image. Further, mapped images are obtained by mapping pixel intensity values to corresponding irradiance values in each image. Furthermore, a pixel intensity value dependent weighting factor is determined. Moreover, a set of images is identified from the mapped images for pixels in the reference image. Also, a set of corresponding mapped pixels is established for the mapped pixels in reference image in the set of images. Further, a similarity measure is computed for the mapped pixels of reference image and corresponding mapped pixels in the set of images. Furthermore, each mapped pixel of the reference image is combined with a subset of its established corresponding mapped pixels in the set of images.

主权项

1. A method for generating a high dynamic range (HDR) image from a plurality of images of a scene obtained at one or more exposure values with a pre-determined camera response curve, comprising:
selecting one of the obtained images as a reference image; obtaining a set of mapped images by mapping each pixel intensity value to a corresponding irradiance value in each obtained image using the pre-determined camera response curve and a relative exposure value of each obtained image with respect to the exposure value of the selected reference image; determining a pixel intensity value dependent weighting factor based on the pre-determined camera response curve for each possible pixel intensity value in the obtained images; identifying a first set of images from the mapped images, excluding the mapped reference image, for a plurality of mapped pixels in the reference image based on the pixel intensity value and a relative exposure value of each mapped image with respect to the reference image; establishing a set of corresponding mapped pixels for the plurality of mapped pixels in the reference image in each of the identified first set of images; computing a similarity measure for the plurality of mapped pixels of the reference image and the established corresponding mapped pixels in each of the identified first set of images; and combining each of the plurality of mapped pixels of the reference image with a subset of its established corresponding mapped pixels in the identified first set of images for that mapped pixel of the reference image based on the computed similarity measures for that mapped pixel of the reference image and the determined pixel intensity value dependent weighting factors for the mapped pixel's intensity value of the reference image and each of the subset of corresponding mapped pixel's intensity value in each of the identified first set of images.