A blur correction device includes: a sensor; a mechanical blur correction device; an electronic blur correction circuit that corrects the blurring by performing image processing on an image obtained through imaging of the imaging apparatus, based on the amount of blurring and operation state information about an operation state of the optical element during exposure in the imaging apparatus; and a supplementary blur correction circuit that, in a case where the mechanical blur correction device and the electronic blur correction circuit are shared and operated at a predetermined ratio during the exposure, corrects the blurring by applying, to the image, a filter determined depending on the operation state information, the predetermined ratio, the amount of blurring, and an exposure period in the imaging apparatus.

An image processing apparatus including at least one processor coupled to a memory, serving as a first obtainment unit to obtain a luminance value of image data corresponding to a first luminance range, a second obtainment unit to obtain information for a second luminance range that is less than the first luminance range, a classification unit to classify, based on a correspondence relationship of luminance value conversion from the first luminance range to the second luminance range, the first luminance range of the image data into a plurality of regions, and a display unit to cause a display device to display an image based on the image data such that a pixel of the image having a luminance value belonging to a region, in which a tone characteristic in the image data can be restored when the luminance value conversion is performed, can be specified in the displayed image.

An image capturing apparatus, comprises an instructing unit capable of issuing an instruction for an image capture preparation operation and an instruction for an image capture operation, a metering unit configured to meter brightness of a subject, a calculating unit configured to calculate values of exposure parameters based on a metering result, an acquiring unit configured to acquire information related to an image capture lens; and a controlling unit configured to, when image capture is performed with light emitted by a light emitter, control the calculating unit so as to make different a calculation method for the values of the exposure parameters at the time of issuance of the instruction for the image capture preparation operation based on the information related to the image capture lens.

A system includes a camera defining an optical axis and a field of view defined about the optical axis. An illuminator is mounted offset from the optical axis and directed to illuminate at least a portion of the field of view, wherein the illuminator is operatively connected to the camera to provide illumination during an image capturing exposure of the camera. An image processer is operatively connected to the camera and includes machine readable instructions configured to receive image data representative of an image captured with the camera, perform facial detection to detect at least one face in the image, perform license plate detection to detect at least one license plate in the image, and to provide a vehicle overview image.

An electronic device acquires polarization information of a subject based on a plurality of pieces of image data based on a first signal output from a first sensor. The first sensor can capture an optical image of the subject acquired via a polarizing filter provided with areas having different polarization angles. The device further acquires an evaluation value for controlling brightness of an image at the time of capturing the optical image of the subject, based on the plurality of pieces of image data. The plurality of pieces of image data have different polarization angles, by respectively being acquired via areas of the polarizing filter having the plurality of different polarization angles. A degree of weighting to be assigned to the plurality of pieces of image data at the time of acquiring the evaluation value based on the polarization information.

A method includes capturing an image using a content capture device with an initial image setting. The image includes a plurality of pixel groups, and a pixel group can have one or more pixels. A plurality of edge pixel groups is identified and then classified into two subsets. A first subset of saturated edge pixel groups includes edge pixel groups that have at least one neighboring pixel group with an image intensity exceeding a saturated intensity value. A second subset of non-saturated edge pixel groups includes edge pixel groups that have no neighboring pixel groups with an image intensity exceeding a saturated intensity value. An adjustment value to the image setting is determined based on a total number of saturated edge pixel groups and a total number of non-saturated edge pixel groups. An updated image is captured with an updated image setting based on the adjustment value.

A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes encoding, using at least one processor, each of the first image frame and the second image frames using a convolutional neural network to generate a corresponding feature map. The method further includes aligning, using the at least one processor, encoded features of the feature map corresponding to the first image frame with encoded features of the feature maps corresponding to the second image frames.

A system of estimating ambient light includes an image sensor that captures an image; a region of interest (ROI) selector that determines at least one ROI on the image; an occupancy detector that determines existence status of an object disposed on the at least one ROI; and an ambient light estimator that estimates illumination of ambient light of the at least one ROI according to luminance of the at least one ROI on the image.

A movable carrier auxiliary system includes a driver state detecting device and a warning device. The driver state detecting device includes a physiological state detecting module, a storage module, and an operation module. The physiological state detecting module is adapted to detect a physiological state of a driver. The storage module is disposed in a movable carrier and stores an allowable parameter corresponding to the at least one physiological state. The operation module is disposed in the movable carrier and is electrically connected to the physiological state detecting module and the storage module to detect whether the at least one physiological state of the driver exceeds the allowable parameter or not, and to correspondingly generate a detection signal. The warning device generate a warning message when the detection signal that the at least one physiological state of the driver exceeds the allowable parameter is received.

A camera system with a multispectral sensor that can be used in combination with a flash to determine a spectrum of the ambient illumination without needing a separate measurement. This may then be used to colour-correct an image captured with or without flash.