Abstract: A method of magnetic resonance imaging (MRI) includes applying radio frequency (RF) pulses including a plurality of frequency components and a selection gradient to a target to simultaneously excite a plurality of sub-volumes included in each of a plurality of groups, wherein neighboring sub-volumes of all sub-volumes constituting a volume of the target belong to different groups; acquiring magnetic resonance signals from the plurality of sub-volumes by performing 3D encoding on each of the excited sub-volumes; and reconstructing the acquired magnetic resonance signals into image data corresponding to each of the plurality of sub-volumes.

Abstract: A system, medium, and method compensating brightness of an image, by compensating the brightness of a main object included in the image. The system includes a brightness distribution calculation unit dividing the obtained image into a plurality of divided regions and calculating the brightness distribution of each divided region, and a compensation unit determining a main region including a main object in the obtained image according to the calculated brightness distribution and compensating the obtained image according to the determination result.

Abstract: A method and apparatus may include aligning a reference image and an input image through ROI-based image alignment; detecting an ROI associated with an incompletely aligned region in the aligned image; and blending the aligned reference image and input image by using a plurality of weights which are attenuated according to a spatial distance from a boundary of the detected ROI. In addition, the method and apparatus may include aligning a reference image and an input image through image alignment based on an nth region of interest (ROI) which is detected at a previous stage; detecting another ROI associated with an incompletely aligned region in the aligned image; and blending the aligned image in the other ROI and an (n+1)th blended image, which is input from a next stage, in a region outside the other ROI, and outputting the last blended image to the previous stage.

Abstract: Provided are a method and apparatus for obtaining a magnetic resonance imaging (MRI) image of a subject. Typically, MRI image processing that incorporates fat suppression takes a large amount of time to complete. According to various aspects, image processing that incorporates fat suppression may be postponed until MRI data is repeatedly obtained. By doing so, for example, more MRI data may be obtained during a time period of a heartbeat.

Abstract: Provided are an image processing apparatus and method for restoring a high resolution of an image based on acquired image data using color information. The image processing apparatus selects at least one pixel from among pixels corresponding to narrow-band color information of image data, and estimates wide-band color information of the selected pixel.

Abstract: A method and apparatus for capturing a magnetic resonance image in which processes of generating T1 contrast for different regions of an object overlap with each other, thereby obtaining a magnetic resonance image having an improved contrast between different tissues within a short time. Therefore, a time required for obtaining a magnetic resonance image may be reduced, and a magnetic resonance image enabling improved diagnosis of a disease or other abnormal condition may be provided.

Abstract: A method and apparatus for detecting an object are provided. The method calculates a feature value based on features extracted from an input image by using a classifier of an ith stage, compares the calculated feature value with a first threshold value of the ith stage, compares the feature value with a second threshold value of the ith stage according to a result of the comparison between the feature value and the first threshold value of the ith stage, and jumps to a classifier of an i+2th stage according to a result of the comparison between the feature value and the second threshold value of the ith stage. By doing so, the method can avoid repeated calculations and can rapidly detect the object in the input image.

Abstract: A tomographic image generation apparatus includes a light source unit configured to emit light to be used for scanning an object; an optical control unit configured to control a direction of propagation of light; an optical coupler configured to divide and combine incident light; a plurality of optical systems optically connected to the optical coupler; and a modulation and correction device configured to modulate and correct the light to be used for scanning the object. The modulation and correction device may be disposed between the optical control unit and the optical coupler, or may be included in an optical system that irradiates light onto the object among the plurality of optical systems. The modulation and correction device may only modulate light that is reflected to the object.

Abstract: Disclosed are an apparatus and method for acquiring light field data using a variable modulator. The apparatus varies a modulator located between an optical system and a sensor adaptively according to objects to be captured or a peripheral environment. Accordingly, 4-dimensional (4D) light field data optimized according to objects to be captured or according to changes in focal distance may be acquired.

Abstract: A method and apparatus are provided to generate tomography images that performs the method. The apparatus and method are configured to determine a basis pattern from modulated phases of incident rays from a spatial light modulator according to a pattern of arranged pixels. The apparatus and method are further configured to perform spatial shift modulation shifting an arrangement of the pixels vertically or horizontally with respect to the basis pattern to obtain shift patterns of the basis pattern. The apparatus and method are configured to generate tomography images for the basis pattern and the shift patterns using spectrum signals of rays obtained from the incident rays passing through the spatial light modulator and entering a subject. The apparatus and method are configured to select a pattern that generates a clearest tomography image of the subject based on the generated tomography images.

Abstract: A method of generating a tomography image includes performing a depth scan on one spot on a surface of a subject using modulated light received from a spatial light modulator, obtaining depth scan data for each of a plurality of patterns of the spatial light modulator by repeating the depth scan on the spot for each of the plurality of patterns, forming a matrix R representing a vector space based on a correlation of signal values of the depth scan data for each of the plurality of patterns, performing a matrix decomposition on the matrix R, dividing the vector space into a noise subspace and a signal subspace based on a matrix obtained by the matrix decomposition, constructing a vector space based on either one or both of components of the signal subspace and components of the noise subspace, and generating a tomography image based on the reconstructed vector space.

Abstract: An image display device capable of supporting brightness enhancement and power control and a method thereof, in which the brightness and contrast are enhanced and the power of a light source is controlled in accordance with the image characteristic. In the image display method, a parameter representative of an input image is calculated from a histogram of the input image, a model corresponding to the input image is selected from a plurality of representative models by analyzing the parameter, and then a brightness controlling function matched with the selected model is selected. The size of each component of a pixel constituting the input image is controlled using the brightness controlling function, and the output image of the pixel whose component size has been controlled is displayed.

Abstract: A white balancing detecting method, medium, and system. The white balancing method includes setting an illuminant detection region of an input image in accordance with an exposure integration time indicative of a collected amount of light when the image is taken, and detecting an illuminant by using data contained in the illuminant detection region in a color gamut of the image.

Abstract: An image display device capable of supporting brightness enhancement and power control and a method thereof, in which the brightness and contrast are enhanced and the power of a light source is controlled in accordance with the image characteristic. In the image display method, a parameter representative of an input image is calculated from a histogram of the input image, a model corresponding to the input image is selected from a plurality of representative models by analyzing the parameter, and then a brightness controlling function matched with the selected model is selected. The size of each component of a pixel constituting the input image is controlled using the brightness controlling function, and the output image of the pixel whose component size has been controlled is displayed.

Abstract: A multi-view face recognition method and system are provided. In the multi-view face recognition method, two images to be recognized are input, a linear projection matrix is calculated based on grouped images in a training set, two feature vectors corresponding to the two input images are extracted based on the linear projection matrix, a distance between the two extracted feature vectors is calculated, and it is determined based on the distance between the two feature vectors whether the two input images belong to a same person.

Abstract: An image processing apparatus including an image acquiring unit to acquire a first image including color information and a second image having a spectral band wider than that of the first image and a noise reduction unit to extract edge information from the second image and to reduce noise of the first image based on the extracted edge information.

Abstract: An image processing apparatus and method for providing image information about an area of interest are provided. The apparatus and method may perform image processing, including setting at least one area of interest of an input image, analyzing a dynamic range (DR) of the at least one area of interest, and adaptively processing the DR based on a DR of a display device and the analyzed DR of the at least one area of interest, to form a processed image.

Abstract: An image processing apparatus is provided. The image processing apparatus includes an extraction unit configured to extract a low-frequency band component and a high-frequency band component from a radiation image formed by passing through a subject, a contrast enhancement processing unit configured to perform a contrast enhancement process to the extracted low-frequency band component, a detail enhancement processing unit configured to perform a detail enhancement process to the extracted high-frequency band component, a synthesis unit configured to synthesize an image resulting from performing the contrast enhancement process and an image resulting from performing the detail enhancement process, and a generation unit configured to reconstruct the synthesized image and generate a diagnosis image.

Abstract: A method of generating a tomographic includes detecting a coherence signal that is phase-modulated in a first direction with respect to a cross-section of a subject and includes cross-sectional information of the subject as raw data about the subject; generating a reference temporary tomographic image and at least one temporary tomographic image by performing signal processing on the raw data; detecting an artifact are of the reference temporary tomographic image based on a result of comparing the reference temporary tomographic image with the at least one temporary tomographic image and based on artifact statistics regarding whether an artifact exists; and restoring the artifact area.

Abstract: A method and apparatus for generating an image is provided. The method includes acquiring a plurality of images using different exposure amounts, white-balancing each of the raw images, and synthesizing the white-balanced images producing as a result an absolute HDR image.