Abstract: In various examples, an image processing pipeline may toggle between IR and RGB imaging modes in response to different thresholds of detected light intensity that depend on the toggling direction (e.g., a lower intensity threshold to switch from RGB to IR imaging and a higher intensity threshold to switch from IR to RGB imaging). For example, the image processing pipeline may switch from RGB to IR imaging in response to detecting an amount of light intensity (e.g., average intensity in a green channel) below a first threshold, and the image processing pipeline may switch from IR to RGB imaging in response to: (i) detecting an amount of light intensity (e.g., average intensity in a green channel) that exceeds a second threshold, and/or (ii) detecting a ratio of detected light intensities (e.g., IR to green) below a third threshold.

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 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: 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: 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: 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: 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: 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).