Abstract: 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.

Abstract: Provided are a method and device to visualize an image during an operation of a ride, and a method and device to manage the image visualizing device. The image visualizing device determines a sight direction with respect to a user terminal worn by a user, determines a moving direction of a ride which the user is on, and provides the user with a field of view (FOV) image determined from a contents image based on the sight direction and the moving direction.

Abstract: 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.

Abstract: Provided are a method and device to visualize an image during an operation of a ride, and a method and device to manage the image visualizing device. The image visualizing device determines a sight direction with respect to a user terminal worn by a user, determines a moving direction of a ride which the user is on, and provides the user with a field of view (FOV) image determined from a contents image based on the sight direction and the moving direction.

Abstract: Disclosed herein are a method and apparatus for luminance-adaptive opto-electrical transfer and luminance-adaptive electro-optical transfer. For video transmission and compression, opto-electrical transfer and electro-optical transfer are required. The surround luminance and luminance range of an image are taken into consideration when performing opto-electrical transfer and electro-optical transfer. An opto-electrical transfer function may be derived based on a contrast sensitivity function that takes into consideration the surround luminance of an image. Also, parameters relevant to surround luminance may be signaled from an encoding apparatus to a decoding apparatus, and an electro-optical transfer function may be derived based on the parameters.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Provided is a decoder that is at least temporarily implemented by a processor of a computing device. The decoder includes a calculator configured to repeatedly perform a calculation of a bit node and a calculation of a check node for an input frame, a processor configured to determine whether to input the bit node to a next calculation of the check node based on a code of the bit node, and an outputter configured to output a decoded code based on the bit node determined to be input.

Abstract: 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.

Abstract: 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.

Abstract: A method, a system, and a computer program product for graphically representing physical objects in a contextual setting are disclosed. A first data for a predetermined location, at least one distance measurement between at least two location points at the predetermined location, and at least one image of at least one portion of the predetermined location can be received. Based on the receiving and information obtained from at least one publicly available resource, a spatial representation of the predetermined location configured to include at least one existing feature can be generated. Spatial representation of the predetermined location includes a detailed representation of the at least one portion of the predetermined location having the at least one existing feature.

Abstract: 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.

Abstract: A turbo decoder configured to perform MAP (Maximum A Posteriori) decoding for a plurality of data blocks including encoded noise, comprises a first MAP decoder configured to perform MAP decoding for a first data block that is included in the plurality of data blocks; an interleaver configured to interleave a result of performing MAP decoding for the first data block; a second MAP decoder configured to perform MAP decoding based on a data included in the first data block and an interleaved data of the first data block; a deinterleaver configured to deinterleave a result of performing MAP decoding from the second MAP decoder for the first data block; and at least one storage unit configured to be formed between the first MAP decoder, the interleaver, the second MAP decoder and the deinterleaver.

Abstract: The invention includes: a step forming a heat radiating or weather resistant coating layer on a surface of an insulating film; a step bringing the insulating film into contact with both surfaces of a heat conduction member; and a step forming a blocked pocket by sealing a portion of the insulating film to seal the heat conduction member. Accordingly, the penetration of the back sheet by moisture or foreign substances can be prevented, the insulating performance of the back sheet can be improved, and the size of the heat conduction member and the size of the insulating film can be designed without restriction. A path can be provided such that gas generated in an EVA layer in a photovoltaic module and back sheet peeling are completely addressed.

Abstract: Provided is a low density parity check (LDPC) encoding apparatus and method that may store M registers each including N bits, obtain N×M parity bits by performing a partial parallel operation an N×M number of times with respect to the M registers, and mutually invert subsequent N parity bits periodically, based on previous parity bits for each Nth parity bit of the N×M parity bits, respectively.