The structure of an imaging device is simplified. An imaging device capable of imaging without a lens or an image processing method is provided. Image data which is out of focus is sharpened. An image processing method of image data in which a plurality of pixels are arranged is provided. Adjacent two pixels are each divided into a first region showing the same pixel value between the adjacent two pixels and a second region other than the first region, an initial value is supplied to the second region of an endmost pixel of the image data, and the pixel values of the first regions and the second regions of the plurality of arranged pixels are determined inductively and sequentially on the basis of the initial value.

A microscope system is provided with a microscope that acquires images at least at a first magnification and a second magnification higher than the first magnification, and a processor. The processor is configured to specify a type of a container in which a specimen is placed, and when starting observation of the specimen placed in the container at the second magnification, the processor is configured to specify a map region corresponding to a map image constructed by stitching together a plurality of second images acquired by the microscope at a higher magnification than the first magnification by performing object detection according to the type of the container on a first image that includes the container acquired by the microscope at the first magnification, and cause a display unit to display the first image and a range of the map region on the first image.

The structure of an imaging device is simplified. An imaging device capable of imaging without a lens or an image processing method is provided. Image data which is out of focus is sharpened. An image processing method of image data in which a plurality of pixels are arranged is provided. Adjacent two pixels are each divided into a first region showing the same pixel value between the adjacent two pixels and a second region other than the first region, an initial value is supplied to the second region of an endmost pixel of the image data, and the pixel values of the first regions and the second regions of the plurality of arranged pixels are determined inductively and sequentially on the basis of the initial value.

An image processing device according to the present disclosure includes: a defect candidate pixel detecting unit that detects a defect candidate pixel for each of captured images captured in a state where positional relationships between an imaging range and an image sensor including a plurality of pixels are caused to be different from each other by performing defect candidate pixel detecting processing on each of the plurality of captured images; and an interpolation target defective pixel determining unit that determines, as an interpolation target defective pixel, a pixel detected as the defect candidate pixel a number of times greater than or equal to a threshold value by the defect candidate pixel detecting unit.

An image processing device according to the present disclosure includes: a defect candidate pixel detecting unit that detects a defect candidate pixel for each of captured images captured in a state where positional relationships between an imaging range and an image sensor including a plurality of pixels are caused to be different from each other by performing defect candidate pixel detecting processing on each of the plurality of captured images; and an interpolation target defective pixel determining unit that determines, as an interpolation target defective pixel, a pixel detected as the defect candidate pixel a number of times greater than or equal to a threshold value by the defect candidate pixel detecting unit.

Method for displaying super-resolution video of at least one moving object without image artifacts using a plurality of microscanned images, including the procedures of acquiring microscanned images of at least one moving object, a first and second subset of the images respectively forming a first and second data set, for each data set, analyzing at least a portion of the subset of the images for spatial and temporal information, determining a respective movement indication of the moving object according to the spatial and temporal information, in parallel to the procedure of analyzing, forming a respective super-resolution image from each data set and designating a respective bounded area surrounding the moving object, and repeatedly displaying each super-resolution image outside the bounded area a plurality of times at a video frame rate and displaying during those times within the respective bounded area, a plurality of consecutive microscanned images of the moving object at the video frame rate.

Systems and methods for implementing array cameras configured to perform super-resolution processing to generate higher resolution super-resolved images using a plurality of captured images and lens stack arrays that can be utilized in array cameras are disclosed. An imaging device in accordance with one embodiment of the invention includes at least one imager array, and each imager in the array comprises a plurality of light sensing elements and a lens stack including at least one lens surface, where the lens stack is configured to form an image on the light sensing elements, control circuitry configured to capture images formed on the light sensing elements of each of the imagers, and a super-resolution processing module configured to generate at least one higher resolution super-resolved image using a plurality of the captured images.

An image-capturing module successively captures light data in batches for a scene of a whole field of view by adjusting the position of a multifaceted prism, and executes patch process on these batches of the light data to acquire an image over the whole field of view in a higher imaging quality that is generally achieved by a camera module with large number of pixels. The movable multifaceted prism may be together with an image sensing module and a lens module to be within a holder to have a compact volume for an image-capturing mobile phone, wearable device, and/or smart opto-electronics.

The disclosure discloses a data acquiring method and an electronic device thereof. The electronic device comprises an image acquisition unit, the image acquisition unit comprises a light-transparent module and a sensing module, and there is a first position relationship between the light-transparent module and the sensing module. The method comprises: obtaining a first image of a target scene acquired by the image acquisition unit, wherein an image resolution of the first image is first resolution; adjusting the image acquisition unit based on preset moving parameters; obtaining a second image of the target scene acquired by the image acquisition unit; obtaining a third image by processing the first image and the second image based on the moving parameters, wherein image resolution of the third image is third resolution and the third resolution is greater than the first resolution.

Disclosed is a temperature distribution measuring device for measuring the temperature distribution or the heat generation distribution in a sample. An embodiment collects a reflection signal the reflectivity of which changes on the basis of a bias signal applied to a sample, detects a signal of interest, which has been reflected from a region of interest in the sample, from the reflected signal, converts the signal of interest to a frequency range signal, calculates the relative amount of change in reflectivity of the sample by using a direct current component extracted on the basis of filtering of the frequency range signal and a frequency component of the bias signal, and acquires a thermal image of the sample on the basis of the relative amount of change in reflectivity.