Abstract: In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

Abstract: In various examples, apparatuses, systems, and techniques to perform offline image signal processing of source image data to generate target image data. In at least one embodiment, data collection using exposure and calibration setting of an image sensor is performed to generate source image data, which is then processed by using offline image signal processing to generate target data.

Abstract: Apparatuses, systems, and techniques to perform effective tone management for image data. In an embodiment, a set of contrast gain curves are generated corresponding to a set of tonal ranges of an input image. An output image may then be generated by at least applying corresponding contrast gain curves to tonal ranges of the input image.

Abstract: In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

Abstract: An energy storage device includes a phase-change energy storage tank, a first liquid inlet pipe, a first liquid outlet pipe, a second liquid inlet pipe, a second liquid outlet pipe, and a pipeline. The phase-change energy storage tank includes a first housing and a second housing disposed in the first housing. The second housing includes a liquid inlet, a liquid outlet, a feeding hole, and a discharge hole. The first housing includes a thermal insulation material. The second housing includes a phase change material. The liquid inlet and the liquid outlet are disposed on two ends of the second housing, respectively. The phase change material is introduced to and discharged out of the second housing via the feeding hole and the discharge hole, respectively. The first liquid inlet pipe, the phase-change energy storage tank, and the first liquid outlet pipe are connected sequentially to form an energy storage unit.

Abstract: The various embodiments of the present disclosure are directed towards methods for tone mapping High-Dynamic-Range (HDR) image data, as well as controlling the brightness of the image encoded by HDR the image data and/or the tone-mapped image data. HDR image is captured. A tone mapping function for the HDR image data is generated. To generate the tone mapping function, control points are dynamically determined based on an analysis of the HDR image data. The tone mapping function is fit to the control points. The tone mapping function is a non-linear function, and is described by a curve in a plane. The shape of the curve is constrained by a line generated from a portion of the control points. The tone mapping function is applied to the HDR image data. A color-compression is applied to the tone mapped image data to generate Standard Dynamic Range or Low Dynamic Range image data.

Abstract: The various embodiments of the present disclosure are directed towards methods for tone mapping High-Dynamic-Range (HDR) image data, as well as controlling the brightness of the image encoded by HDR the image data and/or the tone-mapped image data. HDR image is captured. A tone mapping function for the HDR image data is generated. To generate the tone mapping function, control points are dynamically determined based on an analysis of the HDR image data. The tone mapping function is fit to the control points. The tone mapping function is a non-linear function, and is described by a curve in a plane. The shape of the curve is constrained by a line generated from a portion of the control points. The tone mapping function is applied to the HDR image data. A color-compression is applied to the tone mapped image data to generate Standard Dynamic Range or Low Dynamic Range image data.

Abstract: An energy storage device includes a phase-change energy storage tank, a first liquid inlet pipe, a first liquid outlet pipe, a second liquid inlet pipe, a second liquid outlet pipe, and a pipeline. The phase-change energy storage tank includes a first housing and a second housing disposed in the first housing. The second housing includes a liquid inlet, a liquid outlet, a feeding hole, and a discharge hole. The first housing includes a thermal insulation material. The second housing includes a phase change material. The liquid inlet and the liquid outlet are disposed on two ends of the second housing, respectively. The phase change material is introduced to and discharged out of the second housing via the feeding hole and the discharge hole, respectively. The first liquid inlet pipe, the phase-change energy storage tank, and the first liquid outlet pipe are connected sequentially to form an energy storage unit.

Abstract: The various embodiments of the present disclosure are directed towards methods for tone mapping High-Dynamic-Range (HDR) image data, as well as controlling the brightness of the image encoded by HDR the image data and/or the tone-mapped image data. HDR image is captured. A tone mapping function for the HDR image data is generated. To generate the tone mapping function, control points are dynamically determined based on an analysis of the HDR image data. The tone mapping function is fit to the control points. The tone mapping function is a non-linear function, and is described by a curve in a plane. The shape of the curve is constrained by a line generated from a portion of the control points. The tone mapping function is applied to the HDR image data. A color-compression is applied to the tone mapped image data to generate Standard Dynamic Range or Low Dynamic Range image data.

Abstract: In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

Abstract: Techniques are disclosed for identifying preferred orientations of a face in view of various preference factors and for producing a face image having a preferred orientation. The techniques allow a user to take a so-called selfie or have a video chat and appear as if he/she is looking into the camera with a face orientation that has been determined to be optimal for various factors. Such factors may be associated with face type (e.g., face shape, face color), image capture conditions (e.g., time of day, location, light condition, background), and/or the preferences of a particular user. The factors may also be directly associated with and/or dependent on face orientation (e.g., relative nostril size, facial symmetry, relative eye size, eye height).

Abstract: One embodiment of the present invention sets forth a technique for reducing flicker in image frames captured with a rolling shutter. A flicker detection and correction engine selects a first channel from a first image frame for processing. The flicker detection and correction engine subtracts each pixel value in the first channel from a corresponding pixel value in a prior image frame to generate a difference image frame. The flicker detection and correction engine identifies a first alternating current (AC) component based on a discrete cosine transform (DCT) associated with the difference image frame. The flicker detection and correction engine reduces flicker that is present in the first image frame based on the first AC component. One advantage of the disclosed techniques is that the flicker resulting from fluctuating light sources is correctly detected and reduced or eliminated irrespective of the frequency of the fluctuating light source.

Abstract: Techniques are disclosed for identifying preferred orientations of a face in view of various preference factors and for producing a face image having a preferred orientation. The techniques allow a user to take a so-called selfie or have a video chat and appear as if he/she is looking into the camera with a face orientation that has been determined to be optimal for various factors. Such factors may be associated with face type (e.g., face shape, face color), image capture conditions (e.g., time of day, location, light condition, background), and/or the preferences of a particular user. The factors may also be directly associated with and/or dependent on face orientation (e.g., relative nostril size, facial symmetry, relative eye size, eye height).

Abstract: One embodiment of the present invention sets forth a technique for reducing flicker in image frames captured with a rolling shutter. A flicker detection and correction engine selects a first channel from a first image frame for processing. The flicker detection and correction engine subtracts each pixel value in the first channel from a corresponding pixel value in a prior image frame to generate a difference image frame. The flicker detection and correction engine identifies a first alternating current (AC) component based on a discrete cosine transform (DCT) associated with the difference image frame. The flicker detection and correction engine reduces flicker that is present in the first image frame based on the first AC component. One advantage of the disclosed techniques is that the flicker resulting from fluctuating light sources is correctly detected and reduced or eliminated irrespective of the frequency of the fluctuating light source.

Abstract: An exemplary method for creating a composite image includes the steps of capturing a plurality of images with an image capture device which includes a sensor, determining an image capture device pose corresponding to each of the images based on data from the sensor, transforming each of the images based on its corresponding pose, projecting the transformed images to a common projection space, and combining the projected images to form a composite image.

Abstract: An image signal processor (ISP) and a method of generating image statistics. One embodiment of the ISP includes: (1) a client configured to employ image statistics to process a current frame of a scene if changes in the current frame relative to a previous frame of the scene rise above a threshold, and (2) a statistics engine associated with the client and configured to generate the image statistics based on the current frame if the changes rise above the threshold.

Abstract: Various embodiments relating to image capture with a camera and generation of a processed image having desired image characteristics are provided. In one embodiment, a plurality of images of a scene captured by a camera and associated image metadata are stored. Image metadata associated with each image of the plurality of images includes image characteristics of that image, and each image has a different set of values of image characteristics. A request for an image of the scene that most closely matches a specified image characteristic profile that defines one or more values of one or more image characteristics is received. The image characteristic profile is compared to image metadata of each of the plurality of images. A processed image generated from the plurality of images of the scene having image characteristics that most closely match the image characteristic profile based on the comparison is provided.

Abstract: Various embodiments relating to image capture with a camera and generation of a processed image having desired image characteristics are provided. In one embodiment, a suggested range of values of one or more image characteristics based on preferences of one or more sources is received. Furthermore, settings of the camera are adjusted to capture a plurality of images of a scene. Each image has a different set of values within the suggested range of values of the one or more image characteristics.

Abstract: A method and apparatus for smoothing an image in a plurality of video frames consisting of a current frame and at least one previous frame. The position of at least one pixel in each of the plurality of frames is determined to provide respective determined positions. An adjusted position of the at least one pixel in the current frame is calculated based on the determined positions.

Abstract: Lens cleaning warning systems and methods. A system includes an image processing unit configured to analyze image data to determine whether the image data indicates lens flare and, if so, provide an indication to the user that the lens is contaminated.