Korea Advanced Institute of Science and Technology

Samsung Electronics Co., Ltd.

Electronics and Telecommunications Research Institute

Skhynix Inc.

Min Hyuk Kim

Daniel S Jeon

Inchang Choi

Seung-Hwan Baek

Deock Gil Oh

Min Kyu Park

Kyu Sung Kim

Joong Hun Kwon

Joo Ho Lee

In Ki Lee

Ji Won Jung

June Seok Kim

Giljoo Nam

Jin Ha Seong

Youngmin Choi

Incheol Kim

Hyun Jin Ku

Dahyun Kang

Hyunho Ha

Meuleman Andreas

Hyeonjoong Jang

An electronic device and a control method thereof are provided. The electronic device includes a camera, a camera flash, and at least one processor configured to control the camera to capture a natural light image and a depth image of an object, control the camera and the camera flash to capture an artificial light image of the object, obtain distance information from the depth image to generate a depth mask image, create a cluster mask image from the natural light image, obtain a flash image in which the illuminance of the natural light image has been removed from the illuminance of the artificial light image, obtain an optimization parameter based on the distance information, the depth mask image, the cluster mask image, and the flash image, and obtain three-dimensional topographic information and surface reflection information about the object based on the obtained optimization parameter.

Electronic device and control method thereof

Disclosed are a hyperspectral imaging method and an apparatus thereof. A method of reconstructing a hyperspectral image includes receiving an image photographed through a diffractive optical element and reconstructing a hyperspectral image of the received image based on the received image and information about a point spread function for each wavelength of the diffractive optical element. The diffractive optical element may generate an anisotropic shape of the point spread function that varies with a spectrum.

Method and device for imaging of lensless hyperspectral image

Provided is a real-time omnidirectional stereo matching method in a camera system including a first pair of fisheye cameras including first and second fisheye cameras provided to perform shooting in opposite directions and a second pair of fisheye cameras including third and fourth fisheye cameras provided to perform shooting in opposite directions and in which the first pair of fisheye cameras and the second pair of fisheye cameras are vertically provided, including receiving fisheye images of a subject captured through the first to the fourth fisheye cameras; selecting one fisheye camera from among fisheye cameras for each pixel of a preset reference fisheye image among the fisheye images using a sweep volume for preset distance candidates; generating a distance map for all pixels using the reference fisheye image and a fisheye image of the one fisheye camera; and performing real-time stereo matching on the fisheye images using the distance map.

Real-time omnidirectional stereo matching method using multi-view fisheye lenses and system thereof

A method of reduce the impact of noise on a depth image produced using a Time Of Flight (TOF) camera uses an infrared image produced from one or more phase-specific images captured by the TOF camera to determine whether to move pixels in the depth image from one phase section to another.

Image acquisition method for time of flight camera

Disclosed are herein a three-dimensional (3D) object acquisition method and an object acquisition apparatus using artificial light photographs. A 3D object acquisition method according to an embodiment of the present invention includes receiving a plurality of images of a 3D object photographed by a camera, reconstructing spatially-varying bidirectional reflectance distribution functions for the 3D object based on the plurality of images received, estimating shading normals for the 3D object based on the reconstructed spatially-varying bidirectional reflectance distribution functions, and acquiring 3D geometry for the 3D object based on the estimated shading normals.

3D object acquisition method and apparatus using artificial light photograph

A method and a system for acquiring a hyperspectral image by using a kaleidoscope are provided. The method includes copying an input image to generate a specific number of images, generating coded-aperture passed images corresponding to the images by using at least one coded aperture, and acquiring a hyperspectral image for the input image based on the coded-aperture passed images.

Hyperspectral imaging spectroscopy method using kaleidoscope and system therefor

A method for reconstructing a hyperspectral image and a system therefor are provided. The method includes obtaining a dispersion model for dispersion created by a prism included in a camera, the prism including no coded aperture, and reconstructing a hyperspectral image corresponding to a captured image based on the dispersion model.

Method for reconstructing hyperspectral image using prism and system therefor

A method and an apparatus for reconstructing a hyperspectral image using artificial intelligence are provided. The method includes receiving an encoded sensor input for an image and reconstructing a hyperspectral image of the image for the encoded sensor input based on a previously generated nonlinear learning model.

Method and apparatus for reconstructing hyperspectral image using artificial intelligence

An HDR imaging apparatus include: a deinterlacing circuit configured to generate a high-exposure Bayer frame and low-exposure Bayer frame by deinterlacing an interlace Bayer raw frame in which a high-exposure region and low-exposure region are interlaced; a demosaicing circuit configured to convert the high-exposure Bayer frame and the low-exposure Bayer frame into a high-exposure RGB frame and low-exposure RGB frame, respectively; a reconstructing circuit configured to remove interlace artifacts and noise from the high-exposure RGB frame and the low-exposure RGB frame, using joint dictionaries generated through joint dictionary learning on training data sets each containing a plurality of bases, but the corresponding bases have different values; and an HDR generation circuit configured to generate an HDR image frame by combining the high-exposure RGB frame and the low-exposure RGB frame from which interlace artifacts and noise were removed by the reconstructing circuit.

Joint dictionary generation method for image processing, interlace-based high dynamic range imaging apparatus using joint dictionaries and image processing method of the same

Provided is a method of scheduling a parity check matrix, the method performed by a low-density parity-check (LDPC) decoder, the method including checking at least one non-zero elemental variable node in the parity check matrix, identifying a first index of a row of the parity check matrix in the at least one non-zero elemental variable node, extracting a column in which the at least one non-zero elemental variable node is positionable from the parity check matrix using the first index, and mapping the at least one non-zero elemental variable node to the extracted column based on an arrangement, and identifying a second index of the column of the parity check matrix through the mapped at least one non-zero elemental variable node.

Scheduling method of a parity check matrix and an LDPC decoder for performing scheduling of a parity check matrix

Disclosed are a method and a system for estimating an image depth using a birefringent medium. The system for estimating an image depth includes a birefringent medium; and a camera, wherein the camera estimates a depth of a pixel based on an image obtained through the birefringent medium.

Method of estimating image depth using birefringent medium and apparatus thereof

Disclosed are a user interface for a data sharing function according to network connection between network electronic devices and a user device for operating a data sharing function using same. The method for sharing data between network electronic devices, includes: searching network electronic devices located at a periphery of a user device when an input for performing a data sharing function is sensed; classifying the searched network electronic devices into transmission side network electronic devices and reception side network electronic devices; allotting the searched network electronic devices to a first region for receiving data and a second region for transmitting the data, respectively; and configuring and displaying a user interface for a data sharing function based on the network electronic devices allotted to the first region and the second regions.

Method and apparatus for sharing data between different network devices

Disclosed are a signal receiving apparatus based on FTN and a signal decoding method thereof, and the apparatus includes: an equalizer calculating, when a signal sampled by Fast to Nyquist (FTN) is received on a communication channel, a posterior probability of information bits and calculating a log likelihood ratio by using the calculated posterior probability; a deinterleaver deinterleaving bit data output from the equalizer; a decoder correcting of signal interference of the data bits deinterleaved by the deinterleaver by using the LLR and decoding the corrected signal interference; and an interleaver interleaving data output from the decoder to provide the interleaved data to the equalizer.

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Daejeon, South Korea

Min Hyuk Kim