Abstract: Provided is an image restoration apparatus and method. The image restoration apparatus may store an image restoration model including a convolutional layer corresponding to kernels having various dilation gaps, and may restore an output image from a target image obtained by rearranging a compound eye vision (CEV) image by the image restoration model.

Abstract: An electronic device includes an image sensor including a color filter having a plurality of color channels, a memory storing a plurality of color conversion matrices and instructions, and a processor. The processor is configured to obtain noise information of a color image captured by the image sensor, select a target matrix from among the plurality of the color conversion matrices based on the obtained noise information, and generate a color converted image by applying the selected target matrix to the color image.

Abstract: Provided are an image processing method and an image processing device. The image processing method includes generating an image based on viewpoint information of a user; rendering the image based on information about what is in front of the user; and outputting the rendered image using an optical element.

Abstract: Disclosed is a color transform method performed by an electronic device that includes generating an initial color transformed image by performing color transform on a raw image, determine noise amplification degrees indicating degrees to which noise included in the raw image is amplified by the color transform, processing the determined noise amplification degrees, and generating a final color transformed image by filtering the generated initial color transformed image using the processed noise amplification degrees and at least one of the raw image or luminance information of the raw image.

Abstract: A method with image processing includes: receiving an input image including Bayer images captured by a plurality of lenses included in a lens assembly; generating channel separation images by separating each of the Bayer images by a plurality of channels; determining corresponding points such that pixels in the channel separation images are displayed at the same position on a projection plane, for each of the plurality of lenses; performing binning on the channel separation images, based on a brightness difference and a distance difference between a target corresponding point and a center of a pixel including the target corresponding point, corresponding to each of the corresponding points in channel separation images that correspond to a same channel and that are combined into one image, for each of the plurality of lenses; restoring the input image for each of the plurality of lenses based on binned images generated by performing the binning; and outputting the restored input image.

Abstract: An imaging device may code light, passing through an imaging optical lens arranged in a multi-lens array (MLA), and may transmit the light to a sensing element, and the sensing element may restore an image based on sensed information.

Abstract: Provided is an imaging device including a sensing array including a plurality of sensing elements, an imaging lens array including a plurality of imaging optical lenses, each of the plurality of imaging optical lenses having a non-circular cross-section perpendicular to an optical axis, and configured to transmit light received from an outside of the imaging device, and a condensing lens array including a plurality of condensing lenses disposed between the imaging lens array and the sensing array, and configured to transmit the light passing through the imaging lens array to the sensing elements, wherein a number of the plurality of imaging optical lenses is less than a number of the plurality of condensing lenses.

Abstract: Provided is an imaging device including a sensing array including a plurality of sensing elements, an imaging lens array including a plurality of imaging optical lenses, each of the plurality of imaging optical lenses having a non-circular cross-section perpendicular to an optical axis, and configured to transmit light received from an outside of the imaging device, and a condensing lens array including a plurality of condensing lenses disposed between the imaging lens array and the sensing array, and configured to transmit the light passing through the imaging lens array to the sensing elements, wherein a number of the plurality of imaging optical lenses is less than a number of the plurality of condensing lenses.

Abstract: An aberration correction method and apparatus. The apparatus includes at least one processor, and an input/output unit configured to receive an captured image, wherein the processor is configured to initialize a first matrix or a second matrix by reducing a matrix of a point spread function (PSF) of a lens included in a capturing device used to capture the captured image, iteratively perform an aberration removal and a noise removal based on the captured image and the first matrix or the second matrix, and output a final original image as a result of the iteratively performing. Here, the first matrix is a matrix obtained by reducing the number of indices indicating light arrival points of the matrix of the PSF, and the second matrix is a matrix obtained by reducing the number of indices corresponding to light arrival points of a transposed matrix of the PSF.

Abstract: An image sensor and an image sensing method are provided. The image sensor may restore a high resolution image with respect to a high magnification based on sensing information corresponding to different fields of view (FOVs) and that is received through lens elements having a same focal length and different lens sizes.

Abstract: A method for processing an image by using a neural network is provided. The method includes obtaining a target image; and obtaining a restored image corresponding to the target image by using the neural network, the neural network including a plurality of residual blocks connected sequentially. The obtaining the restored image includes obtaining the restored image by performing, in each residual block of the plurality of residual blocks, image processing on an input image, which is input from a previous residual block, on different scales, and providing results of the image processing performed on the different scales to a subsequent residual block.

Abstract: A method and apparatus for color space conversion are provided. An apparatus for converting a color space includes at least one processor configured to convert an original full image of an original color space to a temporary image of a target color space, estimate a color space mapping parameter between the original color space and the target color space, the color space mapping parameter corresponding to the original full image, obtain a residual vector of the target color space based on the temporary image and the color space mapping parameter, convert the residual vector to a residual image of the target color space, and obtain a target full image of the target color space by combining the residual image with the temporary image.

Abstract: Provided is a method and apparatus for restoring an image, the apparatus including a plurality of lenses configured to pass a plurality of rays, a sensor including a target sensing element configured to receive a target ray passing a first lens among the plurality of lenses, and a second sensing element configured to receive a second ray passing a second lens among the plurality of lenses, the first lens being different from the second lens, and a processor configured to determine the second sensing element based on a difference between a direction of the target ray and a direction of the second ray, and to restore color information corresponding to the target sensing element based on color information detected by the second sensing element.

Abstract: An image sensor includes a plurality of lens elements, each lens element of the plurality of lens elements including a plurality of scatterers arranged to concentrate light incident on the image sensor; and a sensing element configured to sense light passing through the plurality of lens elements, wherein one lens element of the plurality of lens elements has a first focal length that is different from a second focal length of another lens element of the plurality of lens elements and is separated from the sensing element by the first focal length.

Abstract: A content visualizing device and method that may adjust content based on a distance to an object so as to maintain a projection plane and prevent an overlap with the object in front is provided.

Abstract: A display device may include a panel including a plurality of pixels and an optical layer. The display device may include a processor configured to generate an image of the panel based on a location relationship between the pixels and the optical elements so that a plurality of rays corresponding to the image propagate evenly at a viewing distance. The location relationship is based on an optical parameter of the optical layer.

Abstract: An image sensor includes a plurality of lens elements, each lens element of the plurality of lens elements including a plurality of scatterers arranged to concentrate light incident on the image sensor; and a sensing element configured to sense light passing through the plurality of lens elements, wherein one lens element of the plurality of lens elements has a first focal length that is different from a second focal length of another lens element of the plurality of lens elements and is separated from the sensing element by the first focal length.

Abstract: The present disclosure relates to a display panel including: a substrate including an active area for displaying an image, and a non-active area surrounding the active area; and a plurality of gate driving circuits arranged in the non-active area of the substrate, wherein the non-active area includes a straight portion and a corner portion, and the plurality of gate driving circuits is arranged only in the straight portion of the non-active area.

Abstract: An imaging device may code light, passing through an imaging optical lens arranged in a multi-lens array (MLA), and may transmit the light to a sensing element, and the sensing element may restore an image based on sensed information.

Abstract: An apparatus for calibrating a multiview image may extract feature points from the multiview image and perform image calibration based on the extracted feature points, track corresponding feature points in temporally successive image frames of a first view image, and perform the image calibration based on pairs of corresponding feature points between the feature points tracked from the first view image and feature points of a second view image.