A method includes accessing a display structure for manufacturing a display panel for an under-display camera (UDC) system. The method further includes computing a point spread function (PSF) of the UDC system with the display structure and computing a metric to evaluate performance of the display structure based on the PSF. The method further includes determining that the metric does not satisfy selection criteria for using the display structure for manufacturing the display panel for the UDC system and in response to the determination, iteratively optimizing the display structure, using an automated searching process, until the metric satisfies the selection criteria. The method further includes generating an optimized display structure responsive to completion of the automated searching process. The optimized display structure is used for manufacturing the display panel for the UDC system.

The present disclosure provides a method for incrementing a sample image, an electronic device, and a computer readable storage medium. A specific implementation comprises: acquiring a first convolutional feature of an original sample image; determining, according to a region generation network and the first convolutional feature, a candidate region and a first probability that the candidate region contains a target object; determining a target candidate region from the candidate region based on the first probability, and mapping the target candidate region back to the original sample image to obtain an intermediate image; and performing image enhancement processing on a portion of the intermediate image corresponding to the target candidate region and/or performing image blur processing on a portion of the intermediate image corresponding to a non-target candidate region to obtain an incremental sample image.

A method includes capturing, by a camera disposed behind a display panel of an electronic device, an original image through a semi-transparent pixel region of the display panel. The original image includes one or more color components. The method further includes determining, for a plurality of pixel regions of the original image, a point spread function (PSF) for each of the one or more color components. The method further includes performing, for the plurality of pixel regions of the original image, a deconvolution of each of the one or more color components of the original image based at least in part on their respective PSFs. The method thus includes generating a reconstructed image corresponding to the original image based on the deconvolutions of the one or more color components of the plurality of pixel regions of the original image.

Aspects of the present disclosure involve a system and a method for performing operations comprising: displaying, by a messaging application, a sound capture screen that enables a user to record the sound; after the sound is recorded using the sound capture screen, generating, by the messaging application, a visual element associated with the sound; receiving, by the messaging application, selection of the visual element from a displayed list of visual elements representing different sounds; in response to receiving the selection of the visual element, conditionally adding one or more graphics representing the sound to one or more images at a user selected position based on a privacy status of the sound; and playing, by the messaging application, the sound associated with the visual element together with displaying the one or more images.

Disclosed herein is an X-ray apparatus for acquiring a medical image, and a method of using said X-ray apparatus, said method comprising the steps of: acquiring an original radiation image of a target object and capturing condition information of the object; acquiring a scatter radiation image related to the original radiation image by inputting the original radiation image and the capturing condition information to a learning network model configured to estimate scatter radiation; and acquiring a scatter radiation-processed medical image from the original radiation image on the basis of the original radiation image and the scatter radiation image, wherein the learning network model configured to estimate scatter radiation is a learning network model taught using a plurality of scatter radiation images and a plurality of pieces of capturing condition information related to each of the plurality of scatter radiation images.

A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing.

An imaging device 10 according to one aspect of the present invention includes: a subject distance acquisition section 115; a movement amount acquisition section 120 that acquires an amount of movement of the subject on the basis of the subject distance; a restoration processing determination section 125 that determines, on the basis of the amount of movement acquired by the movement amount acquisition section 120, whether the restoration processing should be performed on the images through a restoration filter, a restoration strength of the restoration processing should be adjusted and the restoration processing should be performed on the images, or the restoration processing should not be performed on the images; and a restoration processing execution section 105 that performs the restoration processing on the images through the restoration filter or with the adjusted restoration strength, on the basis of the determination of the restoration processing determination section 125.

One embodiment of the present invention provides an image processing method, the method comprising: acquiring a plurality of viewpoint images; generating a contrast distribution from the plurality of viewpoint images; and generating an output image by performing image processing in accordance with the contrast distribution with respect to an image based on the plurality of viewpoint images.

An image processing part includes an edge enhancing part, an artifact detecting part and a compensating part. The edge enhancing part emphasizes an edge portion of an object in input image data. The artifact detecting part detects a corner outlier artifact at an area adjacent to the edge portion of the object. The compensating part compensates the corner outlier artifact. Accordingly, the edge portion of the object may be enhanced and the corner outlier artifact is decreased so that the display quality may be improved.

Disclosed is a distortion rectification method, comprising: taking a wide-angle photograph using a camera of a terminal; determining distortion regions and non-distortion regions in the wide-angle photograph; obtaining a target distortion region selected by a user; dividing the target distortion region into M grid regions of a first pre-set size, wherein M is an integer greater than or equal to one; and respectively performing distortion rectification on the M grid regions of the first pre-set size. Also disclosed is a terminal.