Abstract: Systems, devices and methods are described including receiving a source image having a foreground portion and a background portion, where the background portion includes image content of a three-dimensional (3D) environment. A camera pose of the source image may be determined by comparing features of the source image to image features of target images of the 3D environment and using the camera pose to segment the foreground portion from the background portion may generate a segmented source image. The resulting segmented source image and the associated camera pose may be stored in a networked database. The camera pose and segmented source image may be used to provide a simulation of the foreground portion in a virtual 3D environment.

Abstract: Techniques for image synchronization are described herein. The techniques may include a device having logic, at least partially including hardware logic, to implement modules. The modules may include a first sync pulse module to issue a first sync pulse after a first sync pulse offset period to a first imaging sensor. The modules may also include a second sync pulse module to issue a second sync pulse parallel to the first sync pulse after a second sync pulse offset period to a second imaging sensor.

Abstract: Systems, devices and methods are described including receiving a source image having a foreground portion and a background portion, where the background portion includes image content of a three-dimensional (3D) environment. A camera pose of the source image may be determined by comparing features of the source image to image features of target images of the 3D environment and using the camera pose to segment the foreground portion from the background portion may generate a segmented source image. The resulting segmented source image and the associated camera pose may be stored in a networked database. The camera pose and segmented source image may be used to provide a simulation of the foreground portion in a virtual 3D environment.

Abstract: A system, article, and method of increasing integer disparity accuracy for camera images with a diagonal layout.

Abstract: A system, article, and method of lens shift correction for a camera array.

Abstract: 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.

Abstract: Global matching of pixel data across multiple images. Pixel values of an input image are modified to better match a reference image with a slope thresholded histogram matching function. Visual artifacts are reduced by avoiding large pixel value modifications. For large intensity variations across the input and reference image, the slope of the mapping function is thresholded. Modification to the input image is therefore limited and a corresponding modification to the reference image is made to improve the image matching. More than two images may be matched by iteratively modifying a cumulative mass function of a reference image to accommodate thresholded modification of multiple input images. A device may include logic to match pixel values across a plurality of image frames generated from a plurality of image sensors on the device. Once matched, image frames may be reliably processed further for pixel correspondence, or otherwise.

Abstract: In some embodiments, an electronic device, comprises an image capture device and logic to receive a first set of input frames from an image capture device, analyze the first set of input frames to determine whether multi-image processing is to be implemented, and in response to a determination that multi-image processing is to be implemented, determine a number of image frames required to capture a dynamic range of a scene, capture at least the number of image frames, align the number of images and merge the number of images into a merged image. Other embodiments may be described.

Abstract: Rectification techniques for heterogeneous camera arrays are described. In one embodiment, for example, an apparatus may comprise logic, at least a portion of which is in hardware, the logic to receive a captured image array captured by a heterogeneous camera array, select a rectification process for application to the captured image array, identify a set of rectification maps for the selected rectification process, and apply the identified set of rectification maps to the captured image array to obtain a rectified image array. Other embodiments are described and claimed.

Abstract: 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.

Abstract: Techniques for improved image disparity estimation are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine a measured horizontal disparity factor and a measured vertical disparity factor for a rectified image array, determine a composite horizontal disparity factor for the rectified image array based on the measured horizontal disparity factor and an implied horizontal disparity factor, and determine a composite vertical disparity factor for the rectified image array based on the measured vertical disparity factor and an implied vertical disparity factor. Other embodiments are described and claimed.

Abstract: Technologies may provide for yielding a low dynamic range image. A logic architecture may be implemented to perform a global tone map operation on a high dynamic range image to yield a preview image. The logic architecture may also be implemented to perform a local tone map operation on a region of interest of a preview image to yield a low dynamic range image. Additionally, the logic architecture may be implemented to provide an image that includes a predetermined amount of image pixels that are not saturated. In addition, the logic architecture may be implemented to employ image view data to yield a low dynamic range image. Moreover, the logic architecture may be implemented to convert the region of interest into a region that includes the foveal region of a user. In one example, the tone map operation is performed entirely automatically and interactively.

Abstract: 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.

Abstract: Techniques for improved image disparity estimation are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine a measured horizontal disparity factor and a measured vertical disparity factor for a rectified image array, determine a composite horizontal disparity factor for the rectified image array based on the measured horizontal disparity factor and an implied horizontal disparity factor, and determine a composite vertical disparity factor for the rectified image array based on the measured vertical disparity factor and an implied vertical disparity factor. Other embodiments are described and claimed.

Abstract: Systems and methods may provide for conducting a real-time perceptual quality analysis of a video, wherein the perceptual quality analysis includes at least one of a noise measurement, a contrast measurement and a sharpness measurement. One or more strength parameters of one or more post-processing modules in a video processing pipe may be set based on the perceptual quality analysis resulting in overall video processing that adapts to the changing perceptual quality of the input. In one example, the strength parameters include at least one of a contrast parameter and a de-noising parameter. The invention results in visually enhanced video at the output of the post-processing module.

Abstract: In some embodiments, an electronic device, comprises an image capture device and logic to receive a first set of input frames from an image capture device, analyze the first set of input frames to determine whether multi-image processing is to be implemented, and in response to a determination that multi-image processing is to be implemented, determine a number of image frames required to capture a dynamic range of a scene, capture at least the number of image frames, align the number of images and merge the number of images into a merged image. Other embodiments may be described.

Abstract: Systems, devices and methods are described including receiving a source image having a foreground portion and a background portion, where the background portion includes image content of a three-dimensional (3D) environment. A camera pose of the source image may be determined by comparing features of the source image to image features of target images of the 3D environment and using the camera pose to segment the foreground portion from the background portion may generate a segmented source image. The resulting segmented source image and the associated camera pose may be stored in a networked database. The camera pose and segmented source image may be used to provide a simulation of the foreground portion in a virtual 3D environment.

Abstract: Techniques for rectification of camera arrays are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable on the processor circuit to determine a composite rotation matrix for a camera array comprising a plurality of cameras, determine a composite intrinsic parameter matrix for the camera array, and compute one or more rectification maps for the camera array based on the composite rotation matrix and the composite intrinsic parameter matrix, each of the one or more rectification maps corresponding to one of the plurality of cameras. Other embodiments are described and claimed.

Abstract: Techniques for improved focusing of camera arrays are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine, for each of a plurality of candidate displacement factors for an image array comprising a plurality of images, a corresponding sharpness, determine an optimal displacement factor comprising a candidate displacement factor corresponding to a maximized sharpness, and transform the image array based on the optimal displacement factor. Other embodiments are described and claimed.

Abstract: Techniques for improved image disparity estimation are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine a measured horizontal disparity factor and a measured vertical disparity factor for a rectified image array, determine a composite horizontal disparity factor for the rectified image array based on the measured horizontal disparity factor and an implied horizontal disparity factor, and determine a composite vertical disparity factor for the rectified image array based on the measured vertical disparity factor and an implied vertical disparity factor. Other embodiments are described and claimed.