Abstract: Techniques and systems are provided for presence detection. For instance, a process can include detecting a portion of a person in an image to generate a region of interest (ROI) around the detected portion of the person and confidence information; obtaining a fold angle of a device, wherein the fold angle indicates an angle between two moveable portions of the device; adjusting, based on the fold angle, at least one of a confidence threshold or a size of the ROI; and determining the detection of the portion of the person was successful based on a comparison of at least one of the confidence information with the confidence threshold or the size of the ROI with a threshold ROI size.

Abstract: An exposure convergence method of showing forward change of image intensity in response to drastic change of ambient light and applied to an image processing device includes utilizing an exposure function to acquire an initial intensity of a detection image provided by an image sensor, providing an exposure setting parameter to the image sensor for generating an input image with a first intensity in accordance with an analysis result of the initial intensity, and utilizing a gain parameter to adjust the input image for generating an output image with a second intensity, so that the second intensity of a plurality of sequential output images is gradually varied in one direction.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support blending images. In a first aspect, a computing device may receive a first image frame and a second image frame. The second image frame may be captured with a smaller aperture than the first image frame. The computing device may determine that a spotlight is depicted within the first image frame and determine, based on the spotlight within the first image frame, a blending mask for the first image frame and the second image frame. A third image frame may be determined that blends the first image frame and the second image frame according to the blending mask to include at least one visual artifact caused by the spotlight within the second image frame. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support controlling image capture based on movement and/or lighting conditions. In a first aspect, a method of image processing includes determining lighting and movement conditions for an image scene and determining exposure settings for an image sensor based on these conditions. An exposure overlap setting may also be determined based on the movement and lighting conditions and the exposure settings. The image sensor may then capture one or more initial image frames guided by these parameters. Finally, an output image frame may be determined from these initial frames, such as with a blending process. Other aspects and features are also claimed and described.

Abstract: Systems and techniques are described herein for processing one or more image frames. For instance, a method for processing one or more image frames is provided. The method may include receiving a first series of image frames from an image sensor; providing the first series of image frames to a display to be displayed; initiating an object-detection mode based on the first series of image frames; responsive to initiating the object-detection mode, initiating capture of a second series of image frames; determining exposures for the second series of image frames based on the second series of image frames; and storing an image frame of the second series of image frames.

Abstract: Systems and techniques are described herein for image processing. For example, a computing device can determine a first exposure relationship between an exposure of a first image frame from a first camera of a multi-camera system and an exposure of a second image frame from a second camera of the multi-camera system. The multi-camera system includes a plurality of cameras (including the first camera and the second camera). The computing device can determine a second exposure relationship between an exposure of a third image frame from the first camera and an exposure of a fourth image frame from the second camera. The computing device can determine a difference between the first exposure relationship and the second exposure relationship. The computing device can apply, based on a comparison of the difference to a threshold value, first exposure statistics of the first camera to the plurality of cameras.

Abstract: Systems and techniques are described herein for image processing. For example, a computing device can determine a first exposure relationship between an exposure of a first image frame from a first camera of a multi-camera system and an exposure of a second image frame from a second camera of the multi-camera system. The multi-camera system includes a plurality of cameras (including the first camera and the second camera). The computing device can determine a second exposure relationship between an exposure of a third image frame from the first camera and an exposure of a fourth image frame from the second camera. The computing device can determine a difference between the first exposure relationship and the second exposure relationship. The computing device can apply, based on a comparison of the difference to a threshold value, first exposure statistics of the first camera to the plurality of cameras.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support controlling image capture based on movement and/or lighting conditions. In a first aspect, a method of image processing includes determining lighting and movement conditions for an image scene and determining exposure settings for an image sensor based on these conditions. An exposure overlap setting may also be determined based on the movement and lighting conditions and the exposure settings. The image sensor may then capture one or more initial image frames guided by these parameters. Finally, an output image frame may be determined from these initial frames, such as with a blending process. Other aspects and features are also claimed and described.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for processing image data. One illustrative method of processing image data includes: capturing a first image of a subject using a variable aperture lens configured with a first aperture and a first exposure value; capturing a second image of the subject using the variable aperture lens configured with a second aperture and a second exposure value, wherein the second aperture is smaller than the first aperture and the second exposure value is smaller than the first exposure value; and generating a high dynamic range (HDR) image at least in part by fusing the first image and the second image fusing the first image and the second image.

Abstract: An image processing method of increasing image quality is applied to an image processing device and includes setting a plurality of regions of interest within an input image, generating a weight map in accordance with the plurality of regions of interest identified from the input image, applying a plurality of gain values to the input image for respectively generating a plurality of duplicated images, and utilizing the weight map to synthesize the plurality of duplicated images for acquiring an output image.

Abstract: An exposure convergence method of showing forward change of image intensity in response to drastic change of ambient light and applied to an image processing device includes utilizing an exposure function to acquire an initial intensity of a detection image provided by an image sensor, providing an exposure setting parameter to the image sensor for generating an input image with a first intensity in accordance with an analysis result of the initial intensity, and utilizing a gain parameter to adjust the input image for generating an output image with a second intensity, so that the second intensity of a plurality of sequential output images is gradually varied in one direction.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support compensating for a diffraction pattern in an image. The diffraction pattern results from blades of a variable aperture of a camera used to capture the image. In a first aspect, a method of image processing includes receiving, by a processor, first image data; determining, by the processor, a characteristic of the first image data correlated with a color temperature of the first image data; determining, by the processor, a compensation matrix based on whether the characteristic exceeds a predetermined threshold, wherein the compensation matrix comprises correction values for reducing red channel peaks in the first image data; and determining, with the computing device, corrected image data based on the first image data and on the compensation matrix. Other aspects and features are also claimed and described.

Abstract: A method for generating a pixel filtering boundary required by the auto white balance (AWB) calibration is proposed. The method includes: taking a specific color temperature reference point as a center and dividing a G/B-G/R color space into six color regions having different color component relationships; based on a saturation calculating approach of a HSV color space, respectively identifying six color boundaries in the six color regions to generate a specific hexagonal filtering boundary, so that each color boundary has a predetermined saturation difference with the specific color temperature reference point; adopting the approach for generating the specific hexagonal filtering boundary to respectively identify multiple hexagonal filtering boundaries corresponding to other color temperature reference points; generating an enveloping boundary as a pixel filtering boundary based on the specific hexagonal filtering boundary and the multiple hexagonal filtering boundaries.

Abstract: A method for generating a target gain value of a wide dynamic range (WDR) operation is disclosed including: acquiring an average bright portion luminance corresponding to an average pixel luminance of a bright portion of a video image; acquiring an average dark portion luminance corresponding to an average pixel luminance of a dark portion of the video image; generating an initial gain value of the WDR operation according to a difference between the average bright portion luminance and the average dark portion luminance; and adjusting the initial gain value according to at least one of a color temperature and an exposure duration configuration value of the video image to generate the target gain value.

Abstract: A method for generating a target gain value of a wide dynamic range (WDR) operation is disclosed including: acquiring an average bright portion luminance corresponding to an average pixel luminance of a bright portion of a video image; acquiring an average dark portion luminance corresponding to an average pixel luminance of a dark portion of the video image; generating an initial gain value of the WDR operation according to a difference between the average bright portion luminance and the average dark portion luminance; and adjusting the initial gain value according to at least one of a color temperature and an exposure duration configuration value of the video image to generate the target gain value.

Abstract: A method for generating a pixel filtering boundary required by the auto white balance (AWB) calibration is proposed. The method includes: taking a specific color temperature reference point as a center and dividing a G/B-G/R color space into six color regions having different color component relationships; based on a saturation calculating approach of a HSV color space, respectively identifying six color boundaries in the six color regions to generate a specific hexagonal filtering boundary, so that each color boundary has a predetermined saturation difference with the specific color temperature reference point; adopting the approach for generating the specific hexagonal filtering boundary to respectively identify multiple hexagonal filtering boundaries corresponding to other color temperature reference points; generating an enveloping boundary as a pixel filtering boundary based on the specific hexagonal filtering boundary and the multiple hexagonal filtering boundaries.

Abstract: A passive auto-focus device and method are disclosed herein. An embodiment of the passive auto-focus device comprises: a focus-searching-range decision circuit operable to compare a range of a variation area of a current scene with a predetermined range and determine a focus-searching range, in which the variation area is defined according to the comparison between the current scene and a preceding scene; a focal-distance-variation decision circuit operable to compare the definition pertaining to the focus-searching range with a first predetermined definition and generate a current step setting value; an image record generating circuit operable to generate first step image records in connection with the focus-searching range while the current step setting value indicates a first step and to generate second step image records in connection with the focus-searching range while the current step setting value indicates a second step, in which the first step is shorter than the second step.

Abstract: A wide dynamic range imaging method provided by an exemplary embodiment of the present disclosure has steps as follows. According to a first difference value between a light-part average luminance value and a dark-part average luminance value of an image, a first enhancing value is obtained. According to the dark-part average luminance value and a dark-part pixel number, the first enhancing value is adjusted to generate a second enhancing value. A light-part weighted average value in first regions of the image and a dark-part weighted average value in second regions of the image are calculated, a second difference value between the dark-part weighted average value and the light-part weighted average value is calculated, and the second enhancing value is adjusted to generate a third enhancing value according to the second difference value. The third enhancing value is used to selectively adjust pixels of the image.

Abstract: A passive auto-focus device and method are disclosed herein. An embodiment of the passive auto-focus device comprises: a focus-searching-range decision circuit operable to compare a range of a variation area of a current scene with a predetermined range and determine a focus-searching range, in which the variation area is defined according to the comparison between the current scene and a preceding scene; a focal-distance-variation decision circuit operable to compare the definition pertaining to the focus-searching range with a first predetermined definition and generate a current step setting value; an image record generating circuit operable to generate first step image records in connection with the focus-searching range while the current step setting value indicates a first step and to generate second step image records in connection with the focus-searching range while the current step setting value indicates a second step, in which the first step is shorter than the second step.