Qualcomm Incorporated

Chiachi Sung

Ramin Rezaiifar

Nitesh Shroff

Piyush Sharma

William Mantzel

Ming-Chang Tsai

Christopher Brunner

Sivaram Srivenkata Palakodety

Pillappakkam Bahukutumbi Srinivas

Gary Mcgrath

Embodiments include devices and methods for automatically calibrating a camera. In various embodiments, an image sensor may capture an image. Locations of one or more points including in the captured image frames may be predicted and detected. Calibration parameters may be calculated based on differences between predicted locations of a selected point within an image frame and observed locations of the selected point within the captured image frame. The automatic camera calibration method may be repeated until the calibration parameters satisfy a calibration quality threshold.

Camera auto-calibration with gyroscope

In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera and a processor may be configured to perform the techniques. The monochrome camera may be configured to capture monochrome image data of a scene. The color camera may be configured to capture color image data of the scene. The processor may be configured to perform intensity equalization with respect to a luma component of either the color image data or the monochrome image data to correct for differences in intensity between the color camera and the monochrome camera.

Performing intensity equalization with respect to mono and color images

In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera, and a processor may be configured to perform the techniques. The monochrome camera may capture monochrome image data of a scene. The color camera may capture color image data of the scene. A processor may determine a parallax value indicative of a level of parallax between the monochrome image data and the color image data and determine that the parallax is greater than the parallax threshold. The processor may further combine, in response to the determination that the parallax is greater than the parallax threshold, a luma component of the color image data with a luma component of the monochrome image data to generate a luma component of enhanced color image data.

Parallax mask fusion of color and mono images for macrophotography

Systems, devices, and methods are described for efficiently super resolving a portion of an image. One embodiment involves capturing, using a camera module of a device, at least one image of a scene, and creating a higher resolution image of a user-selected region of interest. The super resolution of the region of interest may be performed by matching a high resolution grid with a grid that is at the resolution of a device camera, populating the high resolution grid with information from an image from the camera, and then populating the remaining points of the grid that are not yet populated.

Systems and methods to super resolve a user-selected region of interest

Techniques disclosed herein involve determining motion occurring in a scene between the capture of two successively-captured images of the scene using intensity gradients of pixels within the images. These techniques can be used alone or with other motion-detection techniques to identify where motion has occurred in the scene, which can be further used to reduce artifacts that may be generated when images are combined.

Detecting and compensating for motion between a flash and a no-flash image

Apparatuses and methods for reading a set of images to merge together into a high dynamic range (HDR) output image are described. Images have a respective HDR weight and a respective ghost-free weight. Images are merged together using the weighted average of the set of input images using the ghost-free weight. A difference image is determined based on a difference between each pixel within a HDR output image and each respective pixel within a reference image used to create the HDR output image.

Generation of ghost-free high dynamic range images

An apparatus and method to find a specified number of corners and/or interest points in an image is presented. In some embodiments, a method to find a specified number of corners in a digital image comprises receiving a digital image containing a plurality of candidate corners; directly calculating a threshold score (S) for a center pixel, for each of the plurality of candidate corners, to form a plurality of scores; sorting, by the plurality of scores, the plurality of candidate corners to form a sorted list; and selecting corner locations sequentially from the sorted list based on the certain number of corners. The methods described may be implemented using any combination of hardware, software and firmware.

Algorithm for FAST corner detection

A method and apparatus are disclosed for performing elastic multiplexing for shared control channels in a wireless device in a wireless communication system. The present work includes, but is not limited to, phase feedback for closed-loop transmit diversity (CL-TD) in mobile wireless communication systems. The method enhances system performance with control channel scheduling flexibility around resource conflicts such as blocking and preemption. The present work discloses an elastic multiplexing processor that is cable of carrying out the elastic multiplexing process.

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San Diego, CA, United States of America

Chiachi Sung