Abstract:
A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.
Abstract:
A method for estimating illumination of an image captured by a digital system is provided that includes computing a feature vector for the image, identifying at least one best reference illumination class for the image from a plurality of predetermined reference illumination classes using the feature vector, an illumination classifier, and predetermined classification parameters corresponding to each reference illumination class, and computing information for further processing of the image based on the at least one best reference illumination class, wherein the information is at least one selected from a group consisting of color temperature and white balance gains.
Abstract:
A method, apparatus and a surround view camera system. The method includes extracting block samples from at least one of a composite view geometric LUT, input fish-eye image and view overlapping region, selecting sample inliers from the extracted block samples, estimating optimal color gain for the selected block samples, performing refined adjustment based on the estimated color gain and applying color transform, and producing a composite surround view image.
Abstract:
A method of local tone mapping of a high dynamic range (HDR) image is provided that includes dividing a luminance image of the HDR image into overlapping blocks and computing a local tone curve for each block, computing a tone mapped value for each pixel of the luminance image as a weighted sum of values computed by applying local tone curves of neighboring blocks to the pixel value, computing a gain for each pixel as a ratio of the tone mapped value to the value of the pixel, and applying the gains to corresponding pixels in the HDR image. A weight for each value is computed based on distance from the pixel to the center point of the block having the local tone curve applied to compute the value and the intensity difference between the value of the pixel and the block mean pixel value.
Abstract:
An image fusing method, apparatus and system for fusing images from an array of cameras, method includes selecting a camera from the array of cameras as a reference camera, estimating misalignment between the retrieved input images from the reference camera and the retrieved input images from the other cameras, estimating misalignment parameters between the reference camera and the other cameras, estimating local disparity between the reference camera image data and the other cameras based on the estimated misalignment parameters, using the estimated misalignment parameters and the estimated disparity values, mapping the image data into a reference camera grid, the retrieved input image data from the other cameras in the array of cameras is fused in the reference camera grid utilizing fractional offsets from integer coordinates, and producing an output image grid on the reference camera grid and interpolate output pixels using processed data for producing a high resolution image.
Abstract:
A method of viewer attention controlled video playback on a video display device is provided that includes displaying a video on a display included in the video display device, determining whether or not attention of a viewer watching the video is focused on the display, and halting the displaying of the video when the attention of the viewer is not focused on the display.
Abstract:
A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.
Abstract:
A method, apparatus and a system multi-camera image processing method. The method includes performing geometric alignment to produce a geometric output by estimating fish eye distortion correction parameters, performing initial perspective correction on related frame, running corner detection in the overlapping areas, locating the stronger corner, calculating BRIEF descriptors for features and match feature point from two cameras using BRIEF scores, performing checks and rejecting wrong feature matches, finding perspective matrices to minimize distance between matched features; and creating a geometric lookup table.
Abstract:
A method of transforming an N-bit raw wide dynamic range (WDR) Bayer image to a K-bit raw red-green-blue (RGB) image wherein N>K is provided that includes converting the N-bit raw WDR Bayer image to an N-bit raw RGB image, computing a luminance image from the N-bit raw RGB image, computing a pixel gain value for each luminance pixel in the luminance image to generate a gain map, applying a hierarchical noise filter to the gain map to generate a filtered gain map, applying the filtered gain map to the N-bit raw RGB image to generated a gain mapped N-bit RGB image, and downshifting the gain mapped N-bit RGB image by (N−K) to generate the K-bit RGB image.
Abstract:
A method, apparatus and a surround view camera system. The method includes extracting block samples from at least one of a composite view geometric LUT, input fish-eye image and view overlapping region, selecting sample inliers from the extracted block samples, estimating optimal color gain for the selected block samples, performing refined adjustment based on the estimated color gain and applying color transform, and producing a composite surround view image.