US2017054901A1PendingUtilityA1

Systems and Methods for Generating Compressed Light Field Representation Data using Captured Light Fields, Array Geometry, and Parallax Information

Assignee: PELICAN IMAGING CORPPriority: Feb 21, 2013Filed: Aug 31, 2016Published: Feb 23, 2017
Est. expiryFeb 21, 2033(~6.6 yrs left)· nominal 20-yr term from priority
G06T 7/60H04N 23/64H04N 23/95G06T 7/0051G06K 9/66H04N 5/23222H04N 13/271G06T 7/50
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Claims

Abstract

Systems and methods for the generating compressed light field representation data using captured light fields in accordance embodiments of the invention are disclosed. In one embodiment, an array camera includes a processor and a memory connected configured to store an image processing application, wherein the image processing application configures the processor to obtain image data, wherein the image data includes a set of images including a reference image and at least one alternate view image, generate a depth map based on the image data, determine at least one prediction image based on the reference image and the depth map, compute prediction error data based on the at least one prediction image and the at least one alternate view image, and generate compressed light field representation data based on the reference image, the prediction error data, and the depth map.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An array camera, comprising:
 a processor; and   a memory connected to the processor and configured to store an image processing application;   wherein the image processing application configures the processor to:
 obtain image data, wherein:
 the image data comprises a set of images comprising a reference image and at least one alternate view image; and 
 each image in the set of images comprises a set of pixels; 
 
 generate a depth map based on the image data, where the depth map describes the distance from the viewpoint of the reference image with respect to objects imaged by pixels within the reference image; 
 determine at least one prediction image based on the reference image and the depth map, where the prediction images correspond to at least one alternate view image; 
 compute prediction error data based on the at least one prediction image and the at least one alternate view image, where a portion of prediction error data describes the difference in photometric information between a pixel in a prediction image and a pixel in at least one alternate view image corresponding to the prediction image; and 
 generate compressed light field representation data based on the reference image, the prediction error data, and the depth map.

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