A three-dimensional (3D) sensing apparatus together with a projector subassembly is provided. The 3D sensing apparatus includes two cameras, which may be configured to capture ultraviolet and/or near-infrared light. The 3D sensing apparatus may also contain an optical filter and one or more computing processors that signal a simultaneous capture using the two cameras and processing the captured images into depth. The projector subassembly of the 3D sensing apparatus includes a laser diode, one or optical elements, and a photodiode that are useable to enable 3D capture.

Apparatus and methods for three-dimensional sensing

The present disclosure describes an embodiment that provides a tangible, non-transitory, computer-readable medium storing instructions executable by a processor of an endoscope. The instructions include instructions to capture, using an imager in the endoscope, a first plurality of images at a first brightness level while a live video based at least in part on the first plurality of images is displayed, generate, using the processor, a baseline image by averaging or summing the first plurality of images, capture, using the imager, a second plurality of images at a plurality of brightness levels, in which the plurality of brightness levels are different from the first brightness level, and generate, using the processor, a high dynamic range image based at least in part on the baseline image and the second plurality of images, in which the high dynamic range image comprises more unsaturated pixels than the baseline image.

Remote visual inspection image capture system and method

High dynamic range depth generation is described for 3D imaging systems. One example includes receiving a first exposure of a scene having a first exposure level, determining a first depth map for the first depth exposure, receiving a second exposure of the scene having a second exposure level, determining a second depth map for the second depth exposure, and combining the first and second depth map to generate a combined depth map of the scene.

High dynamic range depth generation for 3d imaging systems

In an example embodiment, method, apparatus and computer program product for improving image and video captures using depth maps of viewfinder depth map, are provided. The method includes facilitating receipt of a viewfinder depth map of a scene, the viewfinder depth map comprising depth information of a plurality of objects in the scene. One or more objects are selected from the plurality of objects based on depth information of the one or more objects in the viewfinder depth map. Two or more images of the scene are facilitated to be captured by at least adjusting focus of a camera corresponding to the depth information of the one or more objects that are selected.In an example, a method also includes facilitating capture of an image of the scene by at least adjusting focus of a camera corresponding to the depth information of the two or more objects that are selected.

Improving focus in image and video capture using depth maps

A method and an electronic device are disclosed. The electronic device includes a camera, an illumination sensor, and at least one processor. The processor executes the method, including determining, by at least one processor of the electronic device, a photographic condition and selecting a number of photographic captures to be executed in a multi-image frame photographing mode based on the determined photographic condition, capturing by the camera multiple image frames based on the number of photographic captures, and generating an image having a predetermined image resolution from the captured multiple image frames.

Method for generating image and electronic device thereof

Techniques for improved focusing of camera arrays are described. In one embodiment, a system may include a processor circuit, a camera array, and an imaging management module for execution on the processor circuit to capture an array of images from the camera array, the array of images comprising first and second images taken with first and second values of an exposure parameter, respectively, the first value different than the second value, to estimate a noise level, to normalize an intensity of each image based upon the noise level of the respective image, to produce a respective normalized image, to identify candidate disparities in each of the respective normalized images, to estimate a high dynamic range (HDR) image patch for each candidate disparity, and to compute an error from the HDR image patch and an objective function, to produce a disparity estimate. Other embodiments are described and claimed.

Techniques for disparity estimation using camera arrays for high dynamic range imaging

Image filling utilizing image data captured by an array of cameras having different camera viewpoints. Image data, such as a pixel value or gradient value associated with a spatial point in a source region of an image is transferred to the same or another image to fill a target region. Visual artifacts may be reduced by filling portions of the target region visible from other viewpoints with expanded source patches to reduce the size of the target region to be inpainted. In embodiments, a shifted mask corresponding to the target region is determined for each supplementary image based on an estimate of foreground disparity. In further embodiments, partially occluded regions are detected based on an estimate of background disparity. Source patches may be expanded based on a baseline between camera viewpoints into large coherent regions that agree well with the target region boundary may be filled without hallucinating image data from similar patches.

Method and apparatus for filling images captured by array cameras

An image processing apparatus, system, and method to automatically determine a plurality of image acquisition settings for an scene; acquire a set of images of the scene, the set of images including multiple images acquired with a distinct plurality of the determined image acquisition settings; and generate a single image by combining the acquired set of images.

Method and system for perfect shot imaging from multiple images

The present application discloses a method and system for generating a perfect shot image from multiple images. An image processing apparatus, system and method for automatically determining a plurality of image acquisition settings scene; capture a scene image, the set of images using a plurality of images comprises a plurality of different settings to determine the acquisition of image acquisition; composition and by the set of the acquired images to produce a single image.

Sung Hee Park

Papers

Techniques for disparity estimation using camera arrays for high dynamic range imaging

Method and apparatus for filling images captured by array cameras

Method and system for perfect shot imaging from multiple images

Method and system for generating a perfect shot image from multiple images