The present invention provides a technique of reducing colored afterimages. To solve this problem, an image capturing system includes the following structure: A color separation optical system disperses subject light into a plurality of wavelength ranges, and forms images of a plurality of color components. A plurality of image capturing elements capture the respective images of the plurality of color components, and generate the respective color components of a video signal. A color-specific exposure setting unit sets respective exposure periods for the plurality of color components. An exposure control unit performs exposure control α of approximately simultaneously exposure-controlling each of the plurality of image capturing elements to obtain a video signal (hereafter referred to as a reference video signal) in a common period shorter than or equal to a shortest period of the respective exposure periods set for the color components. The exposure control unit also performs exposure control β of exposure-controlling each of the plurality of image capturing elements to obtain a video signal (hereafter referred to as an extended video signal) in a period obtained by subtracting the common period from an exposure period of a corresponding color component.

A processing device generates composite images from a sequence of images. The composite images may be used as frames of video. A foreground/background segmentation is performed at selected frames to extract a plurality of foreground object images depicting a foreground object at different locations as it moves across a scene. The foreground object images are stored to a foreground object list. The foreground object images in the foreground object list are overlaid onto subsequent video frames that follow the respective frames from which they were extracted, thereby generating a composite video.

A take-off capture method includes: acquiring, in response to obtaining an image capturing operation triggered by a user prior to taking off, image frames within a designated duration, upon entering a take-off capture mode; filtering at least one designated image frame based on the acquired image frames, the designated image frame being an image frame where the user is at a take-off high point within the designated duration; and performing an image capturing operation and outputting a take-off capture image based on the designated image frame, when an acquiring time period does not reach the designated duration but the designated image frame is filtered based on the acquired image frames, or when an acquiring time period reaches the designated duration. The user can therefore easily and quickly obtain the take-off capture image with the best take-off posture captured by the user in the take-off process.

This disclosure pertains to techniques for dynamically adapting image capturing techniques, e.g., based on shutter activation frequency, to improve camera responsiveness. One such technique is a method, comprising: receiving a first capture request; in response to receiving the first capture request, using a first capturing technique to capture a first set of images based on an image capture sequence, the image capture sequence comprising one or more images; generating a first image based on the captured first set of images; receiving a second capture request within a first time window from the first capture request, wherein a duration of the first time window is based, at least in part, on a length of time needed to capture the one or more images of the image capture sequence using the first capturing technique; in response to the received second capture request, using a second capturing technique to capture a second set of images, wherein the second capturing technique is different from the first capturing technique; and generating a second image based on the captured second set of images.

There is provided an optical distance measurement system including an image sensor and a processing unit. The processing unit is configured to generate an image to be calculated according to at least one image captured by the image sensor, wherein different image regions of the image to be calculated correspond to different exposure times thereby improving the accuracy of the distance calculation.

There is provided an optical distance measurement system including an image sensor and a processing unit. The processing unit is configured to generate an image to be calculated according to at least one image captured by the image sensor, wherein different image regions of the image to be calculated correspond to different exposure times thereby improving the accuracy of the distance calculation.

The system includes instructions to cause a strobe unit to emit illumination during a first time interval according to a first set of strobe parameters, and to cause a camera module to sample a first image of the photographic scene during the first time interval according to a first set of exposure parameters. The first image is stored within an image set. The instructions cause the strobe unit to emit illumination during a second time interval according to a second set of strobe parameters, and to cause the camera module to sample a second image of the photographic scene during the second time interval based on a second set of exposure parameters. The second image is stored within the image set. An image is selected from the image set, and a resulting image is generated. The resulting image is stored in the image set.

A method for determining one or more groups of exposure settings to use in a 3D image acquisition process carried out with an imaging system, the 3D image acquisition process comprising capturing one or more sets of image data on the image sensor using the respective groups of exposure settings, wherein the one or more sets of image data are such as to allow the generation of one or more 3D point clouds defining the three-dimensional coordinates of points on the surface(s) of one or more objects being imaged, each group of exposure settings specifying a value for one or more parameters of the imaging system, wherein the method comprises identifying one or more candidate groups of exposure settings and selecting from the candidate groups of exposure settings, one or more groups of exposure settings that satisfy one or more optimization criteria.

Generally described, one or more aspects of the present application correspond to systems and techniques for spectral imaging using a multi-aperture system with curved multi-bandpass filters positioned over each aperture. The present disclosure further relates to techniques for implementing spectral unmixing and image registration to generate a spectral datacube using image information received from such imaging systems. Aspects of the present disclosure relate to using such a datacube to analyze the imaged object, for example to analyze tissue in a clinical setting, perform biometric recognition, or perform materials analysis.

Disclosed is Light Detection and Ranging (“LiDAR”)-based camera metering, exposure adjustment, and image postprocessing. The LiDAR-based exposure adjustment may include emitting a laser from an imaging device, obtaining one or more measurements based on the laser reflecting off one or more objects in a scene and returning to the imaging device, adjusting exposure settings of the imaging device based on the one or more measurements, and capturing an image of the scene using the exposure settings. The LiDAR-based image postprocessing may include receiving an image of a scene and measurements or outputs from a LiDAR scan of the scene, and performing different adjustments to color values, contrast, brightness, saturation, levels, and other visual characteristics of different sets of pixels in the image based on different distance, material property, and/or other measurements obtained by the LiDAR for objects represented by the different sets of pixels.