Systems and methods for generating high dynamic images from interleaved Bayer array data with high spatial resolution and reduced sampling artifacts. Bayer array data are demosaiced into components of the YUV color space before deinterleaving. The Y component and the UV components can be derived from the Bayer array data through demosiac convolution processes. A respective convolution is performed between a convolution kernel and a set of adjacent pixels of the Bayer array that are in the same color channel. A convolution kernel is selected based the mosaic pattern of the Bayer array and the color channels of the set of adjacent pixels. The Y data and UV data are deinterleaved and interpolated into frames of short exposure and long exposures in the second color space. The short exposure and long exposure frames are then blended and converted back to a RGB frame representing a high dynamic range image.

An imaging system is presented for imaging a region of interest. The system includes an imaging arrangement having diffraction limited resolution. The imaging arrangement includes a spatial light encoder scattering medium) which applies spatial encoding patterns to coherent light and provides encoded illuminations of the region of interest located behind the encoder to create encoded diffraction limited images on a detector array. A position controller is provided which sequentially provides relative displacements between the coherent light path and the region of interest, resulting in a plurality of M laterally displaced encoded illuminations in a region of interest plane, to displaced by δx (and/or δx) between them such that they are characterized by substantially constant appearances of the encoded structure of the coherent light field. This enables super-resolution reconstruction of an image of the region of interest from corresponding M image data pieces without prior knowledge about the encoding patterns.

A head-mounted display device including one or more position sensors and a processor. The processor may receive a rendered image of a current frame. The processor may receive position data from the one or more position sensors and determine an updated device pose based on the position data. The processor may apply a first spatial correction to color information in pixels of the rendered image at least in part by reprojecting the rendered image based on the updated device pose. The head-mounted display device may further include a display configured to apply a second spatial correction to the color information in the pixels of the rendered image at least in part by applying wobulation to the reprojected rendered image to thereby generate a sequence of wobulated pixel subframes for the current frame. The display may display the current frame by displaying the sequence of wobulated pixel subframes.

In an X-ray imaging apparatus, an image processor is configured to generate a super-resolved image having higher resolution in an X direction than a first fluoroscopic X-ray image and a second fluoroscopic X-ray image by dividing, in the X direction, a pixel value of a first pixel in the first fluoroscopic X-ray image based on pixel values of two pixels in the second fluoroscopic X-ray image that overlap the first pixel when the first fluoroscopic X-ray image and the second fluoroscopic X-ray image are shifted in the X direction by an amount corresponding to a movement amount (of an X-ray detection position) and displayed in an overlapping manner

An image processing apparatus is disclosed. The present image processing apparatus includes an input unit to which an image is input; and a processor which extracts visual characteristics by reducing an input image and obtains a high-definition image by reflecting extracted visual characteristics on the input image. The disclosure relates to an artificial intelligence (AI) system and application thereof that simulate functions such as cognition and decision-making of a human brain using a machine learning algorithm such as deep learning.

In an image-processing method, a stack is provided for storing a predetermined number of frame portions. An image including a target object is obtained, the image being formed by an array of pixels. A frame portion is extracted from the image, the frame portion being at least a portion of the pixels forming the image, corresponding to a region of interest in the image, the region of interest comprising the target object. The frame portion is stored in the stack, the storing including discarding an oldest previously stored frame portion from the stack if the number of frame portions stored in the stack has reached the predetermined number. The steps of the method are repeated a plurality of times. Frame portions in the stack having a phase substantially equal to a given phase are averaged. A super-resolved image is calculated from the plurality of stored frame portions.

Systems and methods are disclosed for improving image quality by modifying received radiation wavefronts with one or more uncalibrated variable phase plates at the pupil plane of the optical system, to produce an atmospheric-like blurred image on the focal plane with an effective increase in the sampling parameter Q. Real-time image restoration algorithms may then be applied to data sets sampled from the blurred image formed on the detector array. Numerous phase plate embodiments are provided for modifying the wavefront.

Embodiments of the present application disclose various super-resolution image acquisition methods and apparatus. One of the super-resolution image acquisition methods comprises: acquiring an image of a to-be-shot scene by an image sensor; changing pixel point distribution of the image sensor at least once; separately acquiring an image of the to-be-shot scene by the image sensor changed each time; and acquiring a super-resolution image of the to-be-shot scene according to the acquired images. According to the embodiments of the present application, by fusing multiple differentiated images of the same scene acquired by a single image sensor in different time periods, a super-resolution image is acquired. The solution is simple and easy to implement, and may better meet users' diversified actual application needs.

A photographing apparatus includes an image sensor which images a plurality of images; an image processor configured to set one image as a reference image and each remaining image as a comparative image; an image processor configured to generate a reference map divided into blocks; an image processor configured to generate a comparative map divided into blocks; an image processor configured to generate a change-detection map indicating coinciding or non-coinciding blocks between the reference map and the comparative map, per each respective block, upon the reference map and the comparative map being compared; an image processor configured to obtain a synthesized image of the images; and an image processor configured to replace at least a part of the synthesized image with a corresponding part of the reference image based on the change-detection map.

The present invention provides a method for measuring a depth of field of an image, including: (a) picking up a first image having a first resolution at a first position; (b) driving the optical lens to move to a second position in a direction along a non-optical axis, and picking up a second image having a second resolution at the second position; and (c) synthesizing the first image and the second image, so as to obtain a third image having a third resolution, where the third resolution is greater than the first resolution and the second resolution. In addition, the present invention also provides an image pickup device and an electronic device using the method.