Abstract: Systems and methods to improve the white balance of a high dynamic range image are disclosed. In a particular embodiment, an imaging device includes a camera sensor and a processor, the processor configured to capture a lighter image and a darker image of a scene. The processor is then configured to white balance the lighter image based on the lighter regions of the image, and to white balance the darker image based on the darker regions of the image. The two images can then be combined to produce a final image.

Abstract: Present embodiments contemplate systems, apparatus, and methods to calibration a multi camera device. Particularly, present embodiments contemplate initiating a calibration of multiple cameras in response to a predetermined event. A calibration records current environmental conditions along with the sensor positions of each camera when focused. By recording a plurality of calibration points under a variety of imaging and environmental conditions, a more accurate synchronization of the multiple cameras' focus positions can be achieved.

Abstract: An example image capture device determines a region of interest using a first image captured while a light source is powered off and a second image captured while a light source is powered on and uses the region of interest to automatically set configurations. In one example, an image capture device includes a controlled light source, an image sensor configured to capture images, and a processing unit configured to cause the image sensor to capture a first image of a scene while the controlled light source is powered off, cause the image sensor to capture a second image of the scene while the controlled light source is powered on, calculate luminance differences between a plurality of regions in the first image and a plurality of collocated regions in the second image, and determine that a region of interest includes those regions for which the luminance differences exceed a threshold.

Abstract: Methods and apparatuses are provided that may be implemented in and/or with a mobile device to allow gesture based remote control of one or more controllable devices.

Abstract: In a particular embodiment, a method is disclosed that includes comparing a frame rate of image capture by an image sensor to a frame rate threshold at an image capture device. The method also includes when the frame rate is less than the frame rate threshold, increasing the frame rate to a modified frame rate that is greater than or at least equal to the frame rate threshold. The method further includes performing an autofocus operation on an image to be captured at the modified frame rate.

Abstract: In a particular embodiment, a method is disclosed that includes determining at least one ambient exposure parameter using an ambient illumination, the at least one ambient exposure parameter including a first sensitivity parameter of an autoexposure controller using the ambient illumination. The method includes determining at least one low-illumination parameter using a first lamp level, the at least one low-illumination parameter including a second sensitivity parameter of the autoexposure controller using the first lamp level, where the autoexposure controller is configured to operate according to at least one high-illumination parameter based on the at least one ambient exposure parameter and the at least one low-illumination parameter. The method further includes performing an image capture operation using a second lamp level that is brighter than the first lamp level, where the at least one high-illumination parameter includes a third sensitivity parameter.

Abstract: This disclosure describes techniques for producing high dynamic range images by applying a variable weighting factor to a sample prior to combining the sample with another sample. In one example, a method includes sampling a first pixel cell signal at a first time to produce a first sample, sampling a second pixel cell signal at a second time to produce a second sample, applying a variable weighting factor to the second sample, wherein the variable weighting factor is defined based on a function, and combining the first sample and the weighted second sample.

Abstract: Methods and apparatuses are provided that may be implemented in and/or with a mobile device to allow gesture based remote control of one or more controllable devices.

Abstract: This disclosure describes automatic self-calibration techniques for digital camera devices. In one aspect, a method for performing a calibration procedure in a digital camera device comprises initiating the calibration procedure when a camera sensor of the digital camera device is operating, accumulating data for the calibration procedure, the data comprising one or more averages of correlated color temperature (CCT) associated with information captured by the camera sensor, calculating one or more CCT vectors based on the one or more averages of CCT, and generating gray point correction factors based on the one or more CCT vectors.

Abstract: This disclosure describes techniques for improving functionalities of a back-end device, e.g., a video encoder, using parameters detected by a front-end device, e.g., a video camera. The techniques may involve detecting a scene change in a captured frame, based on one or more parameters of auto exposure (AE), auto white balance (AWB), and auto focus (AF) functions. If a scene change is detected in a captured frame, a video processing device, which may be a stand-alone device, or may be integrated into one of the front-end or back-end devices, provides an indication of the scene change. The video encoder interprets the signal as a trigger to encode the frame indicated as the frame where a scene change occurred as a reference I frame.

Abstract: A system and method of image capture parameter adjustment using face brightness information is disclosed. In a particular embodiment, a method is disclosed that includes determining a luma value based on a brightness variation within a selected portion of an image, where the selected portion of the image corresponds to at least a portion of a face. The method further includes adjusting an image capture parameter at least partially based on the determined luma value.

Abstract: A method for adjusting parameters in a video capture device using motion information is disclosed. Motion information that indicates motion of a video capture device is determined. The motion information is compared to an upper bound and a lower bound. An aggressiveness level that indicates a change in a white balance gain for the video capture device is determined based on the comparison. A new white balance gain for the video capture device is determined based on the aggressiveness level. An exposure convergence holding time is adjusted based on the motion information. An exposure step size is increased based on the motion information. A brightness level of the video capture device is adjusted based on the convergence step size.

Abstract: This disclosure describes techniques for triggering recording of digital video in a fast frame rate mode. In one example, a digital video recording apparatus includes a video sensor that captures digital video data at a fast frame rate in a fast frame rate mode, a video buffer that buffers the captured digital video data according to a first-in-first-out storage schema, a video storage that stores digital video data, and a motion detection unit that detects fast motion in the buffered digital video data, that stores digital video data from the video sensor in the video storage after detecting the fast motion, and that copies the contents of the video buffer to the video storage prepended to the stored video data. The digital video recording apparatus may be incorporated in a wireless communication device, such as a cellular phone.

Abstract: In a particular embodiment, a method is disclosed that includes receiving image data at an auto white balance module and generating auto white balance data. The method further includes detecting a backlight condition based on the auto white balance data. An apparatus to automatically detect a backlight condition is also disclosed.

Abstract: In a particular embodiment, a method is disclosed that includes comparing a frame rate of image capture by an image sensor to a frame rate threshold at an image capture device. The method also includes when the frame rate is less than the frame rate threshold, increasing the frame rate to a modified frame rate that is greater than or at least equal to the frame rate threshold. The method further includes performing an autofocus operation on an image to be captured at the modified frame rate.

Abstract: In a particular embodiment, a method is disclosed that includes determining at least one ambient exposure parameter using an ambient illumination, the at least one ambient exposure parameter including a first sensitivity parameter of an autoexposure controller using the ambient illumination. The method includes determining at least one low-illumination parameter using a first lamp level, the at least one low-illumination parameter including a second sensitivity parameter of the autoexposure controller using the first lamp level, where the autoexposure controller is configured to operate according to at least one high-illumination parameter based on the at least one ambient exposure parameter and the at least one low-illumination parameter. The method further includes performing an image capture operation using a second lamp level that is brighter than the first lamp level, where the at least one high-illumination parameter includes a third sensitivity parameter.

Abstract: Systems and methods of high dynamic range image combining are disclosed. In a particular embodiment, a device includes a global mapping module configured to generate first globally mapped luminance values within a region of an image, a local mapping module configured to generate second locally mapped luminance values within the region of the image, and a combination module configured to determine luminance values within a corresponding region of an output image using a weighted sum of the first globally mapped luminance values and the second locally mapped luminance values. A weight of the weighted sum is at least partially based on a luminance variation within the region of the image.

Abstract: Techniques are described for dynamic automatic exposure compensation within image capture devices. The techniques include dynamically adjusting a default target brightness for a scene to compensate an exposure value (EV) selected by an automatic exposure process. A sensor array obtains light information from the scene at a default target brightness and an image capture controller calculates brightness values of a plurality of regions in the scene based on the light information. An automatic exposure compensation module dynamically adjusts the default target brightness based on the brightness values for the plurality of regions in the scene and threshold values set for the sensor array to set an adjusted target brightness. The sensor array may then capture an image frame of the scene using an EV for the adjusted target brightness. The techniques also include building a hysteresis zone to substantially stabilize the adjusted target brightness over a sequence of image scenes.

Abstract: This disclosure describes automatic self-calibration techniques for digital camera devices. In one aspect, a method for performing a calibration procedure in a digital camera device comprises initiating the calibration procedure when a camera sensor of the digital camera device is operating, accumulating data for the calibration procedure, the data comprising one or more averages of correlated color temperature (CCT) associated with information captured by the camera sensor, calculating one or more CCT vectors based on the one or more averages of CCT, and generating gray point correction factors based on the one or more CCT vectors.

Abstract: Apparatus are provided including an image signal carrier, a luminance information evaluator, and a chrominance information modifier. The image signal carrier is encoded with an image signal including luminance information and chrominance information. The luminance information evaluator evaluates the luminance information in the image signal for a given region within the image to identify when the given region is one of substantially white and substantially dark.