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.

Techniques are disclosed for managing image capture and processing in a multi-camera imaging system. In such a system, a pair of cameras each may output a sequence of frames representing captured image data. The cameras' output may be synchronized to each other to cause synchronism in the image capture operations of the cameras. The system may assess image quality of frames output from the cameras and, based on the image quality, designate a pair of the frames to serve as a “reference frame pair.” Thus, one frame from the first camera and a paired frame from the second camera will be designated as the reference frame pair. The system may adjust each reference frame in the pair using other frames from their respective cameras. The reference frames also may be processed by other operations within the system, such as image fusion.

A device for assembling at least two shots of a scene acquired by at least one sensor includes a memory and processing circuitry. The processing circuitry is configured to save, in the memory, a first data set contained in a first signal generated by each pixel of the sensor and indicative of a first shot of the scene, and a second data set contained in a second signal generated by each pixel of the sensor and indicative of a second shot of the scene. The processing circuitry is further configured to assemble the first and second shots on the basis of the content of the first and second data sets of a plurality of pixels in order to form a resulting scene.

It is possible to improve characteristics of recognition processing using a captured image. An information processing device according to the present disclosure includes: a setting section (124) that sets a pixel position for acquiring a sampling pixel for each divided region obtained by dividing imaging information including pixels; a calculation section (221) that calculates a feature amount of a sampling image including the sampling pixel; and a recognition section (225) that performs recognition processing on the basis of the feature amount of the sampling image and outputs a recognition processing result. The setting section sets different pixel positions for first imaging information and second imaging information acquired after the first imaging information in time series among pieces of the imaging information.

Provision of a position of an intensity peak in image data produced by an image sensor in response to light sensed by the image sensor after the light has reflected on an object as part of light triangulation performed in a three-dimensional imaging system. Devices are configured to obtain the image data and determine which of first and other, second, peak characteristics that the intensity peak is associated with. The position is provided according to a first computing algorithm if the intensity peak is associated with the first peak characteristics and according to a different, second computing algorithm if the intensity peak is associated with the second peak characteristics.

A still or motion imaging device generates a plurality of image frames with a sensor and processes frames to generate an output image frame. The imaging device can apply some or all of de-noising, resolution enhancement, high dynamic range processing, image development functions, pre-emphasis, and compression to the image frames, while deferring tonal processing.

A method for determining whether or not a transparent protective cover of a video camera comprising a lens-based optical imaging system is partly covered by a foreign object is disclosed. The method comprises: obtaining (402) a first captured image frame captured by the video camera with a first depth of field; obtaining (404) a second captured image frame captured by the video camera with a second depth of field which differs from the first depth of field; and determining (406) whether or not the protective cover is partly covered by the foreign object by analysing whether or not the first and second captured image frames are affected by presence of the foreign object on the protective cover such that the difference between the first depth of field and the second depth of field results in a difference in a luminance pattern of corresponding pixels of a first image frame and a second image frame. The first image frame is based on the first captured image frame and the second image frame is based on the second captured image frame.

The present disclosure discloses a method, device, electronic equipment and storage medium for generating a super night scene image. The method includes the following steps: acquiring consecutive multiple frames of original images, which include a frame of underexposed image and multiple frames of normally exposed images; performing stacked noise reduction processing on the multiple frames of normally exposed images to obtain a frame of normally noise-reduced image; performing gray scale transformation processing on the normally noise-reduced image to obtain a frame of overexposed image; fusing the underexposed image, the normally noise-reduced image and the overexposed image to obtain a frame of super night scene image.

A localization and tracking method, a localization and tracking platform, a head-mounted display system, and a computer-readable storage medium are provided. One or more images of odd frames and one or more images of even frames that are respectively collected with a preset first exposure duration and a preset second exposure duration by one or more tracking cameras arranged on a head-mounted display device are acquired, the one or more images of even frames at least containing blobs corresponding to multiple luminous bodies arranged on a gamepad; Degree of Freedom (DoF) information of the head-mounted display device is determined according to the one or more images of odd frames and attitude information of the head-mounted display device; and DoF information of the gamepad is determined according to the one or more images of even frames, attitude information of the gamepad, and the DoF information of the head-mounted display device.

Embodiments of the invention provide a system and method for integrating HDR images in video processing in a time efficient process. In one embodiment, a method for machine vision image processing includes obtaining a plurality of images of a scene, each image having a different exposure value. The images are captured by a camera having a specific dynamic range. Pixel values of the plurality of images are compared to the dynamic range of the camera to determine, based on the comparison, a minimal number of optimal images. This minimal number of optimal images is combined, to obtain an HDR image of the scene. The scene may include an object on an inspection line.