Samsung Electronics Co., Ltd.

Hyundai Motor Company

Kia Motors Corporation

Korea Advanced Institute of Science and Technology

Snu Rdb Foundation

Kyung Chang Industrial Co., Ltd.

Donghee Industrial Co., Ltd.

Yang Ho Cho

Dong Kyung Nam

Ho Young Lee

Deokyoung Kang

Kyuhwan Choi

Du-Sik Park

Young Ju Jeong

Kyu Young Hwang

Hyoseok Hwang

Juyong Park

Geonwoo Kim

Seunghoon Han

Eun Sik Kim

Jingu Heo

Sung Kwang Cho

Daekun Yoon

Jinho Lee

Byong Min Kang

Du Sik Park

Jeong Seon Min

Ji Young Hong

Yoonsun Choi

Ji Won Kim

Ouk Choi

Ki-Hun Jeong

Tao Hong

Haitao Wang

Kisoo Kim

Hyun Wook Park

Ju Yong Park

Weiming Li

Zhihua Liu

Bum Jun Kim

Mingcai Zhou

Hyo Seok Hwang

Gengyu Ma

Chang Yeong Kim

Seho Lee

Jee Hyuck Choi

Xiying Wang

Wi Sang Park

Sung Il Byun

Kang Xue

Kiwoo Lee

Hee Soo Yang

Mincheol Lee

Yeol Min Seong

Kyung-Won Jang

Jun Kyul Song

Myung Joo Kang

Jin Je Park

Seung Won Jeong

Dae Hyeong Kim

Dong Sik Jeong

Kyo Young Hwang

An apparatus with image processing includes: one or more processors configured to: generate a full sampling image by demosaicing a first color filter array (CFA)-based input image; based on a trained color conversion model trained for color conversion and noise suppression of the full sampling image, determine a bias and a conversion matrix corresponding to each pixel of the full sampling image; and based on the conversion matrix and the bias, convert a color space of the full sample image, corresponding to the first CFA, into a color space corresponding to a second CFA.

Apparatus and method with image processing

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.

Single image sensor for restoring images corresponding to various fields of view

An imaging device includes an imaging lens array including a plurality of imaging lenses each with a same focal length, the plurality of imaging lenses being configured to capture a scene; a sensing array comprising a plurality of sensors configured to receive light passing through the plurality of imaging lenses; a processor configured to determine a scene depth plane corresponding to the scene based on a comparison, for each of a plurality of candidate depths, between reference pixel values based on first sensors of the plurality of sensors corresponding to a reference imaging lens of the plurality of imaging lenses and target pixel values that are based on second sensors of the plurality of sensors corresponding to a target imaging lens of the plurality of image lenses; and a lens driver configured to position the imaging lens array to be disposed at a point corresponding to the scene depth plane.

Imaging method and device for autofocusing

An image processing method includes: based on an imaging device generating an input array image of a multi-view through an array lens, determining a first setting parameter indicating whether to use the multi-view or a single view selected from the multi-view; determining a second setting parameter indicating whether a priority is assigned to sensitivity enhancement based on pixel binning or to resolution enhancement based on pixel interpolation; determining an image processing mode based on the first setting parameter and the second setting parameter; and generating an output image by performing image processing on the input array image based on a processing procedure that is based on the determined image processing mode.

Method and apparatus for processing array image

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.

Color filter spectrum optimization method and electronic apparatus performing the same

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.

Zoomable image sensor and image sensing method

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.

Image processing method of generating an image based on a user viewpoint and image processing device

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.

Method and apparatus with image processing

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.

Imaging device and image sensing method

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.

Method and apparatus with color conversion

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.

Color transform method, electronic device for performing the method, and image sensor

An imaging device is provided. The imaging device may sense light passing through a corresponding imaging lens and a corresponding color filter in sensing elements disposed in a sensing region for each color channel, and generate sensing data based on a grouping of color intensity values sensed by the sensing elements for each sensing region based on a binning size determined based on an illuminance of light.

Imaging device and method

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.

Method and apparatus for restoring image

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.

Lens array camera and method of driving lens array camera

Growing community of inventors

Seongnam-si, South Korea

Yang Ho Cho