Abstract: An image processing apparatus and a method are provided. The image processing apparatus includes an accumulator for accumulating image data in which images are accumulated when the images are input from an image sensor, a memory for storing the pieces of image data that are output from the accumulator, and a processor for generating a final image using at least one image data from among the pieces of image data that are stored in the memory.

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: Provided is an apparatus, method and computer-readable medium removing noise of an image. The apparatus may include a channel image correction unit to correct remaining channel images excluding a currently processed channel image, from among a plurality of channel images, using the currently processed channel image, a noise removal unit to remove noise of the currently processed channel image, using the corrected remaining channel images and the currently processed channel image, and a color image reconstruction unit to reconstruct a color image in which noise is removed, by combining the plurality of channel images in which noise is removed when the noise of the plurality of channel images is removed.

Abstract: A method and apparatus for processing an image based on a tile image is disclosed, the method including estimating first motion information indicating a degree of a motion of a target image with respect to a reference image, dividing the reference image and the target image into a plurality of reference tile images and a plurality of target tile images, performing an image processing on the plurality of target tile images using the first motion information, and combining the plurality of image processed target tile images.

Abstract: A method and apparatus for processing an image that performs an online brightness change is disclosed, the method including dividing a luminance channel in a reference image and a target image based on a size of a chroma channel, enhancing an image quality of the target image in which the luminance channel is divided, using the reference image in which the luminance channel is divided, enhancing the image quality of an image of the luminance channel divided in the target image, using the enhanced target image of which, and combining the luminance channel of the enhanced target image and the luminance channel of which the image quality is enhanced.

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: Provided are an apparatus and method for generating an image with a defocused background. According to various aspects, a preview image is used as the basis for extracting a background distribution and a defocused background is generated based on the extracted background distribution. Accordingly, it is not necessary to photograph two or more images to generate a defocused background effect.

Abstract: Provided are a method and apparatus for simultaneously reducing various kinds of noises in an image output from an image sensor equipped to a camera. The image noise reducing method includes: determining a color reference value, which corresponds to a corrected value of the color value of a current pixel, based on the difference values between the color value of the current pixel among pixels of an image and the color values of neighboring pixels around the current pixel; determining unified filter kernel coefficients, which represent the weights of the current pixel and the neighboring pixels, based on the similarities between the determined color reference value and the color values of the neighboring pixels; and reducing a noise in the color value of the current pixel by weighted-averaging the color value of the current pixel and the color values of the neighboring pixels using the unified filter kernel coefficients.

Abstract: Provided is an image processing method and apparatus for improving image quality and enhancing a three-dimensional effect. By extracting an interest feature index from an input image based on a depth sensation estimation cue existing in the image, calculating an interest feature index integration map based on the interest feature index and importance of interest of the depth sensation estimation cue, and performing discrimination processing of the image based on the interest feature index integration map, three-dimensional effect and true sensation enhancement processing can be performed based on the probability of the existence of a depth sensation estimation cue, without segmentation of an object of interest, correct depth information, or an object model.

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 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 an apparatus and method for generating a three-dimensional (3D) panoramic image using a single camera. The image processing apparatus may generate a two-dimensional (2D) reference panoramic image using a central area of each of a plurality of input image frames, and may extract a left-eye strip and a right-eye strip of when a similarity calculated in the plurality of input image frames based on the 2D reference panoramic image has a maximum value.

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 automatic white balance adjusting apparatus and method based on detection of an effective area. The automatic white balance adjusting apparatus may detect the effective area by using a color temperature, a luminance, and a correlation, and may adjust a white balance with respect to the detected effective area.

Abstract: Provided is an image interpolation method and apparatus using a reference block depending on a direction. The image interpolation method may generate a horizontal reference block and a vertical reference block each with respect to an inputted image, and determine interpolation directivity with respect to the inputted image using the generated horizontal reference block and vertical reference block, thereby performing an interpolation on an image based on accurate interpolation directivity. In particular, the image interpolation method may determine whether to verify interpolation directivity depending on an edge intensity of an inputted image, thereby performing a color filter array (CFA) interpolation on an image based on an edge direction without determining the interpolation directivity, when the edge intensity is strong.

Abstract: An apparatus and method of generating a three-dimensional (3D) panoramic image, using a single camera. The apparatus may include a frame slit capturing unit to capture a first frame slit in an Nth video frame, and to capture a second frame slit from an (N+2)th video frame, and a 3D image generating unit to generate a left image using the captured first frame slit and the captured second frame slit. Here, the frame slit capturing unit may capture a third frame slit in an (N+1)th video frame, and captures a fourth frame slit in an (N+3)th video frame, and the 3D image generating unit may generate a right image using the captured third frame slit and the captured fourth frame slit.