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:
A method and apparatus for processing a multi-view image are provided. A priority may be assigned to each hole pixel in a hole region generated when an output view is generated. The priority of each hole pixel may be generated by combining a structure priority, a confidence priority, and a disparity priority. Hole rendering may be applied to a target patch including a hole pixel having a highest priority. The hole pixel may be restored by searching for a source patch most similar to a background of the target patch, and copying a pixel in the found source patch into a hole pixel of the target patch.
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:
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 image sensor includes a color filter array including a first color filter including a first number of blue pass filtering elements, the first number of red pass filtering elements, and green pass filtering elements in a first pattern, wherein a number of the green pass filtering elements in the first pattern is twice the first number, and a second color filter including a second number of blue pass filtering elements, the second number of red pass filtering elements, and green pass filtering elements in a second pattern, wherein a number of green pass filtering elements in the second pattern is twice the second number, and the second number is greater than the first number. The second color filter may surround an area of the first color filter.
Abstract:
An optimization method includes determining first information related to a difference between the color filter spectrum and the color spectrum or a difference between an image transformed by the color transformation matrix and a ground truth (GT) image in the reset color space, determining second information representing smoothness of the color filter spectrum, third information representing a transmittance of the color filter spectrum, calculating a cost value based on the first information, the second information, and the third information, compare the calculated cost value and a threshold, and updating one of the filter spectrum information and the color transformation matrix in response to the calculated cost value being equal to or greater than the threshold.
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:
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 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.