Abstract: An image signal amplifying circuit comprising an amplifier and a gain control circuit. The amplifier respectively amplifies a first image signal and a second image signal, which are generated by a pixel array of an image sensor, by a first analog gain and a second analog gain, wherein each one of pixel circuits of the pixel array comprises a first capacitor for generating the first image signal and a second capacitor for generating the second image signal, wherein a charge storage capacity of the first capacitor is smaller than a charge storage capacity of the second capacitor. The gain control circuit selectively adjusts the first analog gain or the second analog gain. Each one of the pixel circuits has a first conversion gain corresponding to the first capacitor and a second conversion gain corresponding to the second capacitor.

Abstract: An imaging element, an imaging method, and an imaging device capable of acquiring a pixel signal of a high dynamic range without losing an information amount are provided. An imaging element according to an embodiment includes an imaging unit (100 or 101) and a generation unit (102). The imaging unit includes a unit pixel that outputs a pixel signal corresponding to received light. The generation unit generates, on the basis of the pixel signal, a processing pixel signal corresponding to each of a plurality of luminance regions having continuous luminance.

Abstract: The disclosure belongs to the field of visible light communication, and specifically discloses a stripe image processing method and apparatus for camera optical communication. The method includes: obtaining a stripe image data set, the stripe image data set including a stripe image sample and a stripe sequence label corresponding to the stripe image sample and a stripe-free image label; based on the stripe image sample and the stripe sequence label corresponding to the stripe image sample and the stripe-free image label, training a generative adversarial network to obtain an image reconstruction model and a stripe extraction model; among them, the image reconstruction model serves as a generator of the generative adversarial network, and the stripe extraction model serves as a discriminator of the generative adversarial network.

Abstract: According to an aspect, there is provided an image sensing system comprising: a rolling shutter image sensor comprising an array of pixels in a frame arranged into a plurality of image lines extending along a width direction, and distributed in a scanning direction which is perpendicular to the width direction, wherein the rolling shutter image sensor is configured to scan the frame by sequentially scanning each image line along the scanning direction, wherein scanning each image line includes making the pixels in each image line sensitive to light for a predetermined exposure time, and then determining an intensity readout for each pixel of the respective image line; a lens system configured to project at least two similar outgoing images of an object onto the image sensor, the outgoing images offset from one another in the scanning direction, wherein the outgoing images are projected onto the image sensor such that each pixel of an outgoing image corresponding to a position on the object matches a pixel or

Abstract: In various examples, information may be received for a 3D model, such as 3D geometry information, lighting information, and material information. A machine learning model may be trained to disentangle the 3D geometry information, the lighting information, and/or material information from input data to provide the information, which may be used to project geometry of the 3D model onto an image plane to generate a mapping between pixels and portions of the 3D model. Rasterization may then use the mapping to determine which pixels are covered and in what manner, by the geometry. The mapping may also be used to compute radiance for points corresponding to the one or more 3D models using light transport simulation. Disclosed approaches may be used in various applications, such as image editing, 3D model editing, synthetic data generation, and/or data set augmentation.

Abstract: A sensor and/or system controller may process an image multiple times at multiple resolutions to detect glare conditions. A glare condition threshold used to determine whether a glare condition exists may be based on the resolution of the image. When the resolution of the image is higher, the glare condition threshold may be higher. The sensor and/or system controller may organize one or more adjacent pixels having similar intensities into pixel groups. The pixel groups may vary in size and/or shape. The sensor and/or system controller may determine a representative group luminance for the pixel group (e.g., an average luminance of the pixels in the group). The sensor and/or system controller may determine a group glare condition threshold, which may be used to determine whether a glare condition exists for the group of pixels and/or may be based on the size of the group.

Abstract: A first frame of image data is captured at a first illumination intensity during a first time segment. A second frame of image data is captured at a second illumination intensity during a second time segment. The first frame and the second frame are combined and outputted as a compensated frame.

Abstract: A method is provided. The method includes receiving an input image, extracting at least one feature from the input image, determining at least one local tone curve for a portion of the input image based on the extracted at least one feature, the portion of the input image being less than an overall area of the input image, and generating a toned image based on the at least one local tone curve.

Abstract: A method is provided. The method includes receiving an input image, extracting at least one feature from the input image, determining at least one local tone curve for a portion of the input image based on the extracted at least one feature, the portion of the input image being less than an overall area of the input image, and generating a toned image based on the at least one local tone curve.

Abstract: Dynamic systems and methods for fixed noise pattern calibrations and image corrections are provided. Imaging devices may be calibrated via the system by adjusting an imaging sensor exposure to acquire one or more black images. A global average pixel value is calculated to accumulate pixel values per column of the acquired image. The calculated global average pixel value is then saved as offset imaging data. An average pixel value per column of the imaging data based on the accumulated pixel values may also be calculated, and stored as offset imaging data. A correction matrix may be recomposed based on the offset imaging data and used for calibrating the imaging sensor, and for creating corrected images in or near real time.

Abstract: A sensor device includes an array sensor that includes a plurality of visible light or invisible light imaging elements arranged one-dimensionally or two-dimensionally, an image processing unit that performs image processing for image signals obtained by image capturing using the array sensor, and a threshold setting unit. The threshold setting unit sets a threshold used for parameter setting for all or some of parameters used for image capturing processing associated with image capturing performed by the array sensor or image processing performed by the image processing unit to achieve a process using the parameter changed on the basis of the threshold.

Abstract: A system and a method for processing an image. The system comprises an image gateway arranged to receive an input image showing a scene composed by a combination of a plurality of image portions of the input image, wherein one or more of the plurality of image portions is associated with an exposure level deviated from an optimal exposure level; and an enhancement engine arranged to process the input image by applying an exposure/image relationship to the input image, wherein the exposure/image relationship is arranged to adjust the exposure level of each of the plurality of image portions towards the optimal exposure level; and to generate an enhanced image showing a visual representation of the scene composed by a combination of the plurality of image portions of the input image with an adjusted exposure level.

Abstract: A plug connection system that autonomously charges an electric vehicle (EV) is provided. The method includes: obtaining a trained machine learning (ML) model from a back-end server; capturing an image using an image capturing device of the charging system, wherein a portion of the image comprises the EV charging portal; inputting the image into the trained ML model to determine one or more regions of interest associated with the EV charging portal within the image; determining a location of the EV charging portal based on the one or more determined regions of interest and one or more image processing techniques; and providing information to maneuver the robotic arm of the charging system to a physical position based on the determined location of the EV charging portal.

Abstract: First image data including a plurality of values representing the image in one or more first spectral bands of an electromagnetic spectrum is received. Second image data including a plurality of values representing the image in one or more second spectral bands of the electromagnetic spectrum is determined based on the first image data. The one or more second spectral bands of the electromagnetic spectrum include at least one spectral band not included in the one or more first spectral bands of the electromagnetic spectrum. The second image data is stored in a memory and/or provided to a user device for displaying the image in one or more second bands of the electromagnetic spectrum to a user of the user device.

Abstract: Systems and method for expanding a dynamic range associated with an image are disclosed. The method includes capturing an image of a scene via an imaging device using a single exposure. The image of the scene includes a plurality of polarization images corresponding to different angles of polarization, and each of the polarization images comprise a plurality of color channels. The method further includes determining a criterion for each of the plurality of color channels; selecting one color channel of the plurality of color channels based on determining of the criterion; generating a reconstructed image irradiance for the one color channel based on pixels in two or more of the plurality of polarization images obtained for the one color channel; and outputting a reconstructed image with the reconstructed image irradiance.

Abstract: A system and method is provided for generating a tone mapping function to reduce dynamic range of a first image to produce a second image. A luma signal and a plurality of chroma components are determined and a gamut color correction is then performed. An adaptive function is generated by comparing the luma signal and at least one chroma component of the first and second image.

Abstract: A camera device's exposure to sunlight may be monitored. The sun exposure may be used to predict a solar event associated with the camera device, such as a critical temperature, a brightness level, or an angle of sunlight. Prior to occurrence of the solar event, one or more functions of the camera device may be enabled or disabled. For example, a cooling function of the camera device may be enabled or a characteristic of video streamed by the camera device may be modified. The function may be re-enabled or re-disabled after the solar event.

Abstract: A method includes capturing, by a camera disposed behind a display panel of the electronic device, a plurality of images at a plurality of exposures, respectively. One or more captured images include one or more flare artifacts. The method further includes generating a high dynamic range (HDR) image by fusing the captured images. The method further includes accessing a HDR point spread function (PSF) from a memory of the electronic device. The HDR PSF may be generated, at an initial camera calibration stage, by fusing a plurality of PSFs captured at the plurality of exposures, respectively. The method further includes generating, using an image deconvolution technique, a reconstructed image with flare artifacts mitigated based on the HDR image and the HDR PSF.

Abstract: A light-emitting data transmission method includes obtaining display layout information of a lamp, and generating a dot matrix drawing interface on a display interface corresponding to the display layout information. The lamp includes a plurality of light-emitting units, and each curtain light is mapped to a coordinate point in the dot matrix drawing interface. The method also includes obtaining bitmap graphic data generated by receiving an external editing instruction from the dot matrix drawing interface, converting the bitmap graphic data into bitmap image data in a predetermined image format, and outputting the bitmap image data to a controller, so that the controller parses the bitmap image data into the light-emitting information corresponding to each light-emitting unit. The light-emitting information is used to control the corresponding light-emitting unit to emit light, such that light emitted by the plurality of light-emitting units are combined to form a predetermined light effect.

Abstract: An electronic apparatus includes: an image sensor for acquiring an image including normal pixel values that are sensed during a first exposure time and short exposure pixel values that are sensed during a second exposure time that is shorter than the first exposure time; and a processor configured to acquire flag information that indicates that a selected region, among a plurality of regions of the image, is one of a motion region and a normal region by using an exposure ratio of the first exposure time and the second exposure time and by using a short exposure pixel value and normal pixel values, which are included in the selected region, and configured to output a restoration image including a restoration pixel value that is corrected from the short exposure pixel value that is included in the selected region, based on the flag information.

Abstract: An apparatus capable of communicating with a capturing apparatus includes a first acquisition unit configured to acquire an image captured by the capturing apparatus, a second acquisition unit configured to acquire first exposure information determined by the capturing apparatus based on a luminance of a first region in the image, a first determination unit configured to determine second exposure information based on a luminance of a second region, a second determination unit configured to determine correction information based on a difference between the first exposure information and the second exposure information, and an output unit configured to output the correction information to the capturing apparatus.

Abstract: An image pickup apparatus which reduces the time required to achieve correct exposure while reducing deterioration of an aperture and changes in the exposure of an image. A correct exposure is calculated from a subject brightness. A setting value of the aperture is discretely calculated from the correct exposure. A first target value is calculated from a present value of the aperture and the correct exposure. A second target value closer to the setting value than the first target value, is calculated from the present value of the aperture, correct exposure, and first target value. While the aperture is driven to reach the second target value from the first target value, shutter speed and/or gain is changed. The aperture is driven at a first drive speed to reach the first target value and then driven at a second drive speed to reach the second target value.

Abstract: A photoelectric conversion device includes a plurality of unit pixels each including a charge holding portion to which charges are transferred from four or more photoelectric conversion units. Sensitivity of each photoelectric conversion unit of a first group to incident light is greater than sensitivity of each photoelectric conversion unit of a second group to the incident light. After charge accumulation is started in all the photoelectric conversion units of the second group, charge accumulation is started in the photoelectric conversion units of the first group. After signals corresponding to charges accumulated in all the photoelectric conversion units of the second group are read out, signals corresponding to charges accumulated in the photoelectric conversion units of the first group are read out.

Abstract: Provided are an information processing device, an information processing method, and an information processing program capable of reducing a processing load of convolution processing in a convolutional neural network (CNN). An information processing device (1) according to the present disclosure includes a setting unit (51) and a control unit (52). The setting unit (51) sets exposure time of each of imaging pixels in an imaging unit (2), which includes a plurality of imaging pixels arrayed two-dimensionally, to exposure time corresponding to a convolution coefficient of a first layer of a CNN. The control unit (52) causes transfer of signal charges from imaging pixels, which have been exposed, to a floating diffusion (FD), thereby performing convolution processing.

Abstract: An image sensor includes organic photodetectors and an angular filter less than 20 ?m away from the photodetectors. Further, a method of manufacturing an image sensor includes the forming of organic photodetectors and of an angular filter less than 20 ?m away from the photodetectors.

Abstract: Auto exposure metering is adapted for spherical panoramic content. Using input image data, a first metering map is generated for a selected image sensor and a second metering map is generated for an unselected image sensor. Auto exposure level values for the selected image sensor and for the unselected image sensor are respectively metered using the first metering map and the second metering map, such as by adjusting luminance weights in certain locations of the respective image sensor panoramic image capture band. Hemispherical images are processed using the auto exposure metered level values and stitched together in a panoramic format to produce a spherical panoramic image. The metering maps are generated to account for areas of greatest image data importance relative to a primary orientation direction of the spherical panoramic image. This allows for effective auto exposure metering of such areas within the resulting spherical panoramic image.

Abstract: An example method includes capturing, by an image capture device, a first image having a plurality of pixels. Each pixel includes a plurality of channels, and the first image is captured in accordance with first exposure parameters. The method includes determining, by a controller of the image capture device, average pixel intensities for each of the plurality of channels. The method includes determining, by the controller, a weighted average of pixel intensities using the average pixel intensities. The method includes setting, by the controller, a gain that is proportional to a ratio of a desired average pixel intensity relative to the weighted average of pixel intensities. The method includes setting, by the controller, second exposure parameters for a second image based on the gain. The method includes capturing, by the image capture device, the second image in accordance with the second exposure parameters.

Abstract: A method for capturing an image of a scene using an imaging device is disclosed herein. The method includes determining a coordinate system with an origin based on an initial position of the imaging device, generating a first condition to control the position of the imaging device in the coordinated system with respect to the origin, generating a second condition to control the orientation of the imaging device, determining a position and an orientation of the imaging device, generating a first prompt message in response to the position of the imaging device satisfying the first condition, and generating a second prompt message in response to the orientation of the imaging device satisfying the second condition.

Abstract: An electronic device and one or more control methods thereof are provided. In one example, the electronic device may include a display device, one or more imaging devices, and a signal processing device. The display device may include a display panel and a non-display area at an edge of the display panel, the non-display area having one or more light-passing structures. Each of the one or more imaging devices may correspond to one of the one or more light-passing structures. Further, each of the one or more imaging devices may be disposed in an internal space of the electronic device. The signal processing device may be connected to each of the display device and the one or more imaging devices. The electronic device may increase an actual screen ratio of a rectangular image displayed on a user-oriented side of the electronic device.

Abstract: A fiber optic cable positioned along a casing string in a wellbore may be calibrated by exciting a tube wave in the wellbore and detecting, by the fiber optic cable, a reflected tube wave. The reflected tube wave may correspond to a reflection of the tube wave off an obstacle within the wellbore. The obstacle may have a known location such that a reference point along the fiber optic cable may be associated with the known location of the obstacle for calibrating the fiber optic cable. Downhole applications utilizing data collected by the calibrated fiber optic cable, including location data, may weight the data collected based at least in part on an uncertainty value associated with a particular calibrated location along the length of the fiber optic cable.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate exposed panoramic image data of an environment. For example, an example process may include obtaining panoramic image data including pixel values corresponding to light received by one or more image capture devices from multiple angles in a physical environment, generating blurred panoramic image data by adjusting the individual pixel values based on values of a subset of other values of the pixel values, selecting an area of the blurred panoramic image data, and determining an exposure for the panoramic image data based on the area of the blurred panoramic image data.

Abstract: Methods and apparatus are disclosed for producing high quality images in uncontrolled or impaired environments. In some examples of the disclosed technology, groups of cameras for high dynamic range (HDR), polarization diversity, and optional other diversity modes are arranged to concurrently image a common scene. For example, in a vehicle checkpoint application, HDR provides discernment of dark objects inside a vehicle, while polarization diversity aids in rejecting glare. Spectral diversity, infrared imaging, and active illumination can be applied for better imaging through a windshield. Preprocessed single-camera images are registered and fused. Faces or other features of interest can be detected in the fused image and identified in a library. Impairments can include weather, insufficient or interfering lighting, shadows, reflections, window glass, occlusions, or moving objects.

Abstract: There is provided a pixel circuit including a first circuit and a second circuit. The first circuit is used to output a first voltage associated with exposure intensity. The second circuit is used to output a second voltage associated with exposure time interval. The processor multiples the first voltage to a ratio between a reference voltage and the second voltage to obtain an actual light intensity, wherein the reference voltage is a voltage value outputted by the second circuit of a dummy pixel.

Abstract: A method including receiving an input data set. The input data set can include one of a feature domain set or a kernel matrix. The method also can include constructing dense embeddings using: (i) Nyström approximations on the input data set when the input data set comprises the kernel matrix, and (ii) clustered Nyström approximations on the input data set when the input data set comprises the feature domain set. The method additionally can include performing representation learning on each of the dense embeddings using a multi-layer fully-connected network for each of the dense embeddings to generate latent representations corresponding to each of the dense embeddings. The method further can include applying a fusion layer to the latent representations corresponding to the dense embeddings to generate a combined representation. The method additionally can include performing classification on the combined representation. Other embodiments of related systems and methods are also disclosed.

Abstract: An image pickup device includes first and second cameras, and first and second image signal processors (ISP). The first camera obtains a first image of an object. The second camera obtains a second image of the object. The first ISP performs a first auto focusing (AF), a first auto white balancing (AWB) and a first auto exposing (AE) for the first camera based on a first region-of-interest (ROI) in the first image, and obtains a first distance between the object and the first camera based on a result of the first AF. The second ISP calculates first disparity information associated with the first and second images based on the first distance, moves a second ROI in the second image based on the first disparity information, and performs a second AF, a second AWB and a second AE for the second camera based on the moved second ROI.

Abstract: Apparatus and methods for generating High Dynamic Range (HDR) media, based on multi-stage compensation of motion in a captured scene is disclosed in the embodiments herein. Embodiments herein relates to the field of image processing devices suitable for processing two or more images of different exposures and more particularly to apparatus and methods for generating a High Dynamic Range (HDR) media, based on a multi-stage compensation of motion in a captured scene. The apparatus is configured to correct exposure alignment error and media registration error from a registered plurality of media frames comprising a plurality of exposure levels corresponding to the captured scene. The apparatus is configured to remove a plurality of false ghost artefacts in the plurality of media frames. The apparatus is configured to generate the HDR media, based on a generated ghost map.

Abstract: The present disclosure relates to methods and apparatus for data processing, e.g., a display processing unit (DPU). The apparatus may receive data including a plurality of data bits, the data being associated with at least one data source. The apparatus may also determine whether at least a portion of the data corresponds to priority data, the priority data being within a region of interest (ROI). The apparatus may also detect an adjustment amount of the received data when at least a portion of the data corresponds to priority data, the data being displayed or stored based on the detected adjustment amount.

Abstract: To enable a good HDR image or video coding technology, being able to yield high dynamic range images as well as low dynamic range images, we invented a method of encoding a high dynamic range image (M_HDR), comprising the steps of: converting the high dynamic range image to an image of lower luminance dynamic range (LDR_o) by applying a) scaling the high dynamic range image to a predetermined scale of the luma axis such as [0,1], b) applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image, c) applying a gamma function, and d) applying an arbitrary monotonically increasing function mapping the lumas resulting from performing the steps b and c to output lumas of the lower dynamic range image (LDR_o); and outputting in an image signal (S_im) a codification of the pixel colors of the lower luminance dynamic range image (LDR_o), and outputting in the image signal (S_im) values encoding the f

Abstract: Disclosed are devices, systems and methods for capturing an image. In one aspect an electronic camera apparatus includes an image sensor with a plurality of pixel regions. The apparatus further includes an exposure controller. The exposure controller determines, for each of the plurality of pixel regions, a corresponding exposure duration and a corresponding exposure start time. Each pixel region begins to integrate incident light starting at the corresponding exposure start time and continues to integrate light for the corresponding exposure duration. In some example embodiments, at least two of the corresponding exposure durations or at least two of the corresponding exposure start times are different in the image.

Abstract: There is provided a medical dimming control apparatus including: a dimming control section configured to control a dimming in relation to an imaging of an observation target by an imaging device in accordance with a set dimming mode. The dimming mode at least includes a first dimming mode that controls the dimming at a first tracking speed and a second dimming mode that controls the dimming at a second tracking speed that is slower than the first tracking speed, and the dimming control section sets the first dimming mode on the basis of a change in an imaging-related behavior in the imaging device, and sets the second dimming mode in a case of determining that a predetermined condition is satisfied while executing the control in accordance with the first dimming mode.

Abstract: The present disclosure relates to an inspection apparatus, a sensing apparatus, a sensitivity control apparatus, an inspection method, and a program that perform inspection with improved accuracy. The inspection apparatus includes a detection section for detecting a plurality of different wavelength region components of ambient light reflected from an inspection target to be inspected, and a control section for controlling the sensitivity of each of the different wavelength region components. The control section controls the sensitivity by calculating a histogram indicating the detection level in every wavelength region of light reflected from the inspection target that is detected by the detection section, and determining, based on histograms of particular spectroscopic components, whether or not the sensitivity is properly set for the detection section. The present technology is applicable, for example, to an inspection apparatus that inspects vegetation.

Abstract: An image capturing device includes an image capturing section that captures first video data having a frame cycle of a first frame cycle and an exposure time for one frame shorter than the first frame cycle, an image acquisition section that acquires the first video data captured by the image capturing section, a detection section that detects a flicker of a light source in the first video data, and an image capturing frame cycle control section that controls the frame cycle of the image capturing in the image capturing section. The image capturing frame cycle control section changes the frame cycle of the first video data captured by the image capturing section from the first frame cycle to a second frame cycle, which is a frame cycle shorter than the first frame cycle, in a case where the detection section detects the flicker.

Abstract: An image pickup apparatus includes a sensor configured to pick up a plurality of images different in in-focus position in an optical axis direction, an adjustment unit configured to adjust a parameter relating to image pickup to correct influence caused by an effective F-number varied depending on an in-focus position when at least a part of the plurality of images is picked up, and a synthesis unit configured to synthesize the plurality of images.

Abstract: There is provided a pixel circuit including a first circuit and a second circuit. The first circuit is used to output a first voltage associated with exposure intensity. The second circuit is used to output a second voltage associated with exposure time interval. The processor multiples the first voltage to a ratio between a reference voltage and the second voltage to obtain an actual light intensity, wherein the reference voltage is a voltage value outputted by the second circuit of a dummy pixel.

Abstract: An imaging element included in an imaging device includes a pixel array in which a plurality of unit pixels are arranged in a matrix, each of the unit pixels having a photoelectric conversion unit. The imaging element is able to read out multiple rows of pixel signals in parallel in a unit horizontal synchronous period. The multiple rows of pixel groups are classified into a first pixel group and a second pixel group by a plurality of rows control signals, and are periodically arranged in a vertical direction of the imaging element. The imaging element is able to acquire signals obtained by multiplying different gains by pixel signals of unit pixels of the first pixel group and pixel signals of unit pixels of the second pixel group through setting of a plurality of rows control signals.

Abstract: An optical pattern is decoded in a scene. An automatic exposure feature of a camera is disabled. A first image is acquired and the optical pattern is detected in the first image. An exposure of the optical pattern in the first image is ascertained. At least one parameter of the camera is modified based on the exposure of the optical pattern. A second image is acquired using the modified parameter. The optical pattern in decoded in the second image.

Abstract: A test device may include a performance module to determine entropy values for images, such as of a graphical user interface, to be presented on a display device of the test device. An entropy value for an image may be indicative of a distribution of data values, such as intensity or color values for pixels in the image. Patterns of entropy values over time may provide information indicative of performance of the test device. For example, a constant entropy value over time may indicate the graphical user interface is not changing. In another example, particular patterns of entry values over time may be indicative of presentation of wait indicators or other user interface elements. The entropy values may be used to determine data indicative of performance of the test device. This data may be stored locally, sent to an external device, and so forth.

Abstract: In a night shot mode, a photo is captured and processed based on a plurality of frames. The plurality of frames is obtained based on a plurality of parameters including an exposure duration, a light sensitivity, and a number of frames. These parameters are determined based on factors, such as whether the electronic device is in a handheld state or not, and whether the current photographing scene is a dark scene or a light source scene.

Abstract: An electronic device and a method of controlling the electronic device are provided. The electronic device includes a camera configured to generate a detection signal by photoelectrically converting incident light, and one or more processors configured to control operations of the camera and process the detection signal, wherein the one or more processors are further configured to generate a plurality of input images from the detection signal, determine a first parameter applied to the camera, based on brightness information of each of the plurality of input images, detect at least one feature from each of the plurality of input images, determine whether to update the first parameter, based on a result of detecting the at least one feature, and adjust the first parameter, based on a brightness of the at least one feature upon determining to update the first parameter.

Abstract: Provided is an imaging device including: a photoelectric conversion unit; a charge holding portion; a charge transfer unit that transfers charges from the photoelectric conversion unit to the charge holding portion; an output unit that outputs a signal based on transferred charges; a first acquisition unit that acquires first image data based on charges generated in the photoelectric conversion unit in a first exposure time period; a second acquisition unit that acquires second image data based on charges generated in the photoelectric conversion unit in a second exposure time period that is a sum of exposure time periods for charges transferred from the photoelectric conversion unit to the charge holding portion for multiple times by the charge transfer unit and is longer than the first exposure time period; and a compression unit that reduces a gradation value of the second image data to generate a third image data.