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 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 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: 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 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: 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: 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.