Abstract: A method and apparatus for deblurring a non-uniform motion blur using a multi-frame including a blurred image and a noise image is provided. The apparatus may provide a clearer image by estimating non-uniform motion blur information of the blurred image using the multi-frame, and performing estimation of the non-uniform motion blur information and obtaining of a latent image iteratively, thereby improving accuracy for estimating the non-uniform motion blur information, and reducing a processing time.

Abstract: An apparatus and method for generating a High Dynamic Range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion. The apparatus may include an HDR weight map calculation unit to calculate an HDR weight map for multiple exposure frames that are received, a ghost probability calculation unit to calculate a ghost probability for each image by verifying a ghost blur for the multiple exposure frames, an HDR weight map updating unit to update the calculated HDR weight map based on the calculated ghost probability, and a multi-scale blending unit to generate an HDR image by reflecting the updated HDR weight map to the multiple exposure frames.

Abstract: An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing.

Abstract: An augmented reality apparatus includes a plurality of photographing modules separated from each other, capturing images of a real scene that includes an object; a tracking unit obtaining status information of the object by tracking the object in the images of the real scene; an image processor determining status information of a virtual image that corresponds to the real scene based on the status information of the object, and generating an augmented reality image by combining the virtual image and the images of the real scene based on the determined status information; and a rendering unit rendering the augmented reality image to display the augmented reality image.

Abstract: An apparatus and method for calculating a cumulative histogram of an image are provided. A cumulative histogram calculation apparatus may include a cumulative value selecting unit to select cumulative data obtained by accumulating input data, based on a number of combinations of the input data, and a loading unit to load the selected cumulative value in a corresponding bin of a histogram.

Abstract: A method and apparatus for processing an image for enhancing an image quality captured in a low illumination environment is disclosed. The method for processing the image may include estimating motion information based on a base frame among input frames captured using a short exposure time and high ISO sensitivity conditions, removing noise of the base frame using the motion information, and enhancing an image quality of the base frame from which the noise has been removed using a reference frame captured under a long exposure condition.

Abstract: Provided is an apparatus and method for reducing noise in an image, the apparatus including a reference image creator unit to create a reference image based on chrominance about a plurality of channels included in an output image obtained from an image sensor of a camera, and a noise reduction unit to perform noise reduction for the respective channels using the created reference image. The plurality of channels may include at least one of a green channel, a red channel, and a blue channel.

Abstract: Provided is an apparatus and method for extracting feature information of an image using a scale-invariant feature transform (SIFT) algorithm. The apparatus may include a first interface configured to generate one or more tile images from a first source image stored in a particular memory, such as a high-capacity short-term memory, and a feature information extractor configured to receive the generated one or more tile images and to respectively extract feature information from each of the one or more input tile images, where the first interface may be configured to generate the one or more tile images by selectively dividing the first source image into the one or more tile images based on a horizontal resolution of the first source image.

Abstract: A three-dimensional (3D) image photographing apparatus includes a photographing unit configured to photograph a first photo, and capture an image after the first photo is photographed; a feature extracting unit configured to extract feature points from the first photo and the image, and match the feature points extracted from the first photo to the feature points extracted from the image; a position and gesture estimating unit configured to determine a relationship between a position and a gesture of the 3D image photographing apparatus when the first photo is photographed, and a position and a gesture of the 3D image photographing apparatus when the image is captured, based on the matched feature points, the photographing unit configured to photograph the image as a second photo in response to the relationship satisfying a predetermined condition; and a synthesizing unit configured to synthesize the first and second photos to a 3D image.

Abstract: A method and apparatus for deblurring a non-uniform motion blur using a multi-frame including a blurred image and a noise image is provided. The apparatus may provide a clearer image by estimating non-uniform motion blur information of the blurred image using the multi-frame, and performing estimation of the non-uniform motion blur information and obtaining of a latent image iteratively, thereby improving accuracy for estimating the non-uniform motion blur information, and reducing a processing time.

Abstract: Provided is a method and apparatus for deblurring a non-uniform motion blur in an input image, that may restore a clearer image by dividing a large scale input image into tiles corresponding to partial areas, selecting, among the divided tiles, an optimal tile for a partial area most suitable for estimating non-uniform motion blur information, and effectively removing an artifact in an outer portion of a tile through padding of each tile.

Abstract: A method and apparatus for robust estimation of a non-uniform motion blur that may reduce an amount of the non-uniform motion blur information, that is, a number of homographies by estimating non-uniform motion blur information about a blur in a predetermined area, thereby reducing an amount of time needed to remove the non-uniform motion blur, and may improve accuracy and stability of the non-uniform motion blur information by estimating homographies for an input image while increasing a number of the homographies, iteratively.

Abstract: An apparatus and method for generating a High Dynamic Range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion. The apparatus may include an HDR weight map calculation unit to calculate an HDR weight map for multiple exposure frames that are received, a ghost probability calculation unit to calculate a ghost probability for each image by verifying a ghost blur for the multiple exposure frames, an HDR weight map updating unit to update the calculated HDR weight map based on the calculated ghost probability, and a multi-scale blending unit to generate an HDR image by reflecting the updated HDR weight map to the multiple exposure frames.

Abstract: A method and apparatus for removing a non-uniform motion blur using a multi-frame may estimate non-uniform motion blur information using a multi-frame including a non-uniform motion blur, and may remove the non-uniform motion blur using the estimated non-uniform motion blur and the multi-frame. The apparatus may also obtain more accurate non-uniform motion blur information by iteratively performing the estimation of the non-uniform motion blur information, and the removal of the non-uniform motion blur.

Abstract: The invention relates to a device and method for detecting changes in background of successive images. More particularly, the invention relates to a device and method for detecting changes in background of successive images by obtaining vertically accumulated values and horizontally accumulated values from multiple binary images of previous image and current image, obtaining pairs of rows and pairs of columns based on the vertically accumulated values and horizontally accumulated values, and transforming pairs of rows and pairs of columns using Hough transformation. Also, the invention relates to an interface system including background changes detecting device and display device connected to the background changes detecting device.

Abstract: Disclosed are a system and a method extensible for performing, in real-time, stereo snatching for calculating depth images with a result of searching for points of similarity by using images taken with two cameras. The system includes a coordinate creating module, a census transform module, a delay XOR calculation module, a stereo matching module, and a control module. Accordingly, by using the system extensible for performing stereo matching, depth information of corrected images can be acquired in real-time without using computer systems or software programs for special purposes. Furthermore, since the system extensible for performing stereo matching can be simply realized by hardware, the system and the method of the present invention can be easily applied to actual intellectual-type robots, industrial settings, etc.

Abstract: Disclosed are a chain code generating apparatus and a method thereof. In accordance with an embodiment of the present invention, the chain code generating apparatus can include an image input unit, receiving an image signal from a camera and converting the received image signal to a digital image signal, and separating a synchronizing signal from the digital image signal and outputting the synchronizing signal; an image storing unit, storing image data corresponding to an active image section of the digital image signal in units of frame based on the synchronizing signal; and a code generating unit, reading the image data stored in the image storing unit and performing an outline search of the analysis portion, and generating a chain code according to a correlation between adjacent pixels forming an outline of the analysis portion in accordance with the searched result.

Abstract: The invention relates to a device and method for detecting changes in background of successive images. More particularly, the invention relates to a device and method for detecting changes in background of successive images by obtaining vertically accumulated values and horizontally accumulated values from multiple binary images of previous image and current image, obtaining pairs of rows and pairs of columns based on the vertically accumulated values and horizontally accumulated values, and transforming pairs of rows and pairs of columns using Hough transformation. Also, the invention relates to an interface system including background changes detecting device and display device connected to the background changes detecting device.

Abstract: Disclosed is a system and a method for rectifying stereo images, which are acquired by two cameras, in real-time by using a calibration matrix resulting from camera calibration. The system includes a coordinate generation module; a rectification coordinate generation module; a bilinear interpolation value generation module; a rectification coordinate memory; a bilinear interpolation memory; an image buffer; an rectification module; and a control module. A structure of a hardware system capable of real-time stereo rectification is provided, and the operation results have been verified by implementing a hardware device. The real-time stereo rectification system makes it possible to acquire rectified images in real-time without using a separate computer system or a software program.

Abstract: Disclosed are a chain code generating apparatus and a method thereof. In accordance with an embodiment of the present invention, the chain code generating apparatus can include an image input unit, receiving an image signal from a camera and converting the received image signal to a digital image signal, and separating a synchronizing signal from the digital image signal and outputting the synchronizing signal; an image storing unit, storing image data corresponding to an active image section of the digital image signal in units of frame based on the synchronizing signal; and a code generating unit, reading the image data stored in the image storing unit and performing an outline search of the analysis portion, and generating a chain code according to a correlation between adjacent pixels forming an outline of the analysis portion in accordance with the searched result.