Abstract: A method of driving a lens array camera may include simultaneously driving a first group of sensing elements from among a plurality of sensing elements, each sensing element from among the first group of sensing elements corresponding to a same original signal viewpoint, wherein the plurality of sensing elements is included in a sensor corresponding to the lens array camera including N rows of N lenses, N being a natural number.

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: 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: A multi-lens based capturing apparatus and method are provided. The capturing apparatus includes a lens array including lenses and a sensor including sensing pixels, wherein at least a portion of sensing pixels in the sensor may generate sensing information based on light entering through different lenses in the lens array, and light incident on each sensing pixel, among the portion of the plurality of sensing pixels may correspond to different combinations of viewpoints.

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: A method of driving a lens array camera may include simultaneously driving a first group of sensing elements from among a plurality of sensing elements, each sensing element from among the first group of sensing elements corresponding to a same original signal viewpoint, wherein the plurality of sensing elements is included in a sensor corresponding to the lens array camera including N rows of N lenses, N being a natural number.

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 image restoration method and apparatus are provided. The image restoration method includes acquiring a target image, and acquiring a restoration image of the target image from an image restoration model to which the target image and pixel position information of the target image are input.

Abstract: An image restoration apparatus generates a plurality of warped images by warping each of a plurality of input images based on respective depths corresponding to a plurality of disparities, and generates an output image with a high resolution based on the plurality of input images and the plurality of warped images using an image restoration model.

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 includes a plurality of thin lens elements, each of the plurality of thin lens elements including a plurality of scatterers configured to concentrate light of a partial wavelength band among light incident on the image sensor. The image sensor further includes a micro lens array configured to concentrate light of another wavelength band wider than the partial wavelength band, and a sensing element configured to sense light passing through the plurality of thin lens elements and the micro lens array.

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: 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: An image sensor and a method of manufacturing the image sensor are provided. The image sensor includes a block layer including an absorption layer and a transparent layer that are alternately stacked, a lens element is located below the block layer, and a sensing element is located to face the lens element.

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: A calibration method and apparatus are provided. The calibration method includes sensing spots at which collimated light passing through multiple lenses is imaged on a sensor and determining a transformation matrix configured to restore an image acquired using the multiple lenses based on the spots.

Abstract: Provided is an image processing apparatus and method. The image processing method includes obtaining, by a sensor and a lens array, a first image corresponding to an original image, identifying the first image obtained by the sensor and the lens array, rearranging the first image in response to rearranging a transformation matrix based on the sensor and the lens array, and generating a second image by performing a color interpolation on the rearranged first image.

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 multi-lens based capturing apparatus and method are provided. The capturing apparatus includes a lens array including lenses and a sensor including sensing pixels, wherein at least a portion of sensing pixels in the sensor may generate sensing information based on light entering through different lenses in the lens array, and light incident on each sensing pixel, among the portion of the plurality of sensing pixels may correspond to different combinations of viewpoints.

Abstract: An image rendering apparatus and method for rendering a stereoscopic image are provided. The image rendering apparatus may estimate a disparity of an image pixel included in an input image. Based on the disparity, a viewpoint direction of the image pixel may be determined by the image rendering apparatus. The image rendering apparatus may render a stereoscopic image by assigning a pixel value of the image pixel to a display pixel having a viewpoint direction corresponding to the viewpoint direction of the image pixel, instead of generating a multiview image.