Abstract: A color reproduction apparatus may include a white balance performing unit to perform white balance with respect to an image obtained from a sensor using a white balance gain, an image restoring unit to restore an RGB image from the white-balanced image by interpolating a color filter array image, a first color corrector to correct a color distortion caused by a light source by applying first correction data, and a second color corrector to correct a color distortion caused by a characteristic of a sensor by applying second correction data.

Abstract: An image enhancement apparatus and method based on luminance information of a pixel. The image enhancement apparatus may determine luminance data of each of a plurality of pixels, and may adaptively determine a conversion ratio according to the luminance data to apply the conversion ratio to an input image, thereby performing image-enhancing. The image enhancement apparatus may adaptively converse the input image according to luminance data, thereby precisely and effectively performing image-enhancing.

Abstract: An apparatus and method for auto white balance adjusting using an effective area. The auto white balance adjusting apparatus may extract a grey area from an input image, and select an effective area from the grey area according to color temperature and luminance, thereby performing white balance using the effective area. The auto white balance adjusting apparatus may perform white balance of the input image using image information of the effective area which is a more precise grey area, thereby improving the white balance.

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 and apparatus is provided, with which a size of a filter window may be decreased by determining an edge direction of each of the pixels constituting an image and by vertically applying an anisotropic filter window to the determined edge direction.

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: Object feature points are tracked in a video image, and detected feature points are affine-transformed. Then, it is determined whether the video image is a real object using characteristics of the affine-transformed feature points. Therefore, liveness detection resistant to spoofing can be performed without requiring user intervention and additional hardware.

Abstract: Apparatus and method for correcting a tone of a panoramic image. An image processing apparatus may acquire, from an overlapping region of a left image and a right image, ghost information based on an optimal threshold and a cost map in which a similarity between the left image and the right image is reflected, may generate a tone correction map based on a global tone correction function generated using the ghost information in the overlapping region, and based on a local tone correction level generated using local information of an optimal seam, and may correct the left image and the right image using a final tone correction map generated by applying, to the tone correction map, a weighting based on the left image and a weighting based on the right image.

Abstract: Provided is a multi-exposure controlling method and apparatus. An exposure control unit may set an initial exposure time based on a comparison result between a predetermined brightness confidence interval and an average high brightness that is calculated based on at least one current histogram. A comparison unit may compare the brightness confidence interval and an average low brightness that is calculated based on a subsequent histogram obtained by photographing a subject using the set initial exposure time. The exposure control unit may change the initial exposure time based on a comparison result of the comparison unit.

Abstract: Provided is an image processing method and apparatus. The image processing method includes receiving an image signal an image, detecting a feature of the image, and analyzing the image signal based on the detected feature of the image, performing segmentation on the image signal according to the analysis result, and performing image processing on the image signal according to the segmentation result.

Abstract: An image analysis method, medium and apparatus for segmentation of a moving image, and a moving image segmentation system. The image analysis method includes receiving an image signal representing an image, detecting features of the image by calculating a difference between the current frame of the image signal and its previous frame, analyzing the image signal based on the detected features of the image, and performing segmentation on the image signal according to the analysis result, thereby separately performing segmentation on all types of moving images. In other words, by using an appropriate segmentation method according to a feature of an image, effective segmentation can be achieved.

Abstract: Disclosed are an auto exposure system and a method thereof. The auto exposure system may check whether an exposure target value is correct using brightness information of an input image. When the exposure target value is not proper, the auto exposure system may readjust the exposure target value through analyzing the brightness information of the input image. Also, the auto exposure system may correct exposure of the input image based on an exposure correction value according to the adjusted exposure target value, thereby adjusting the exposure of the input image to be proper. Also, exposure information of the input image may be easily obtained from a final exposure target value.

Abstract: An apparatus and method creating a ghost-free High Dynamic Range Image (HDRI) based on filtering are provided. It is possible to effectively prevent a ghost phenomenon from occurring when a single HDRI is created from a plurality of LDRIs, by defining a ghost area using a probability based on a global transfer function indicating a relationship for intensities of several frames, rather than searching for or identifying a ghost area in a single or each image.

Abstract: An apparatus and method for creating a three-dimensional (3D) panoramic image using a single camera are provided. The method includes capturing an object from a plurality of viewpoints, determining at least one capture viewpoint from which an image is obtained by capturing the object, among the plurality of viewpoints, collecting at least one image of the captured object from the at least one capture viewpoint, and creating a 3D image from the collected at least one image.

Abstract: A median filtering apparatus and method for removing noise and improving an image quality with respect to all types of input images are provided. The median filtering apparatus may receive an input of N pieces of data, may form a data set including the N pieces of data, may calculate a difference array having an N×N size based on the N pieces of data in the data set, may sum component values for each column of the difference array, and may calculate an index of a column having a smallest value among sum values that are obtained by the summing operation and that are greater than or equal to a preset value.

Abstract: Provided are a method and apparatus for extracting facial features from an image containing a face. The method and apparatus filter an input image using a filter set for face recognition at each of predetermined locations in the input image, merge values obtained by filtering the input image at locations, which are horizontally symmetrical to each other with respect to the center of the face, and synthesize values obtained by filtering the input image at locations which are not symmetrical to each other with respect to the center of the face with the merged values. Therefore, the time, feature values, and storage space required to extract or compare facial features can be significantly reduced. In addition, a face recognition system that runs well on low specification hardware can be implemented.

Abstract: A method of processing frames obtained by multiple exposures may include categorizing, by at least one processor, a plurality of frames captured by multiple exposures into one of a reference frame and a target frame, compensating for global motion resulting from motion of a capturing apparatus capturing an object, and compensating for local motion resulting from motion of the object, based on a joint histogram between the reference frame and the target frame.

Abstract: Provided is an image processing apparatus. When a plurality of images acquired by photographing different directions is input, a region search unit of the image processing apparatus may search for an overlapping region within the plurality of images. An outlier removal unit may remove an outlier within the retrieved overlapping region.

Abstract: A transaction splitting apparatus and method are provided in which neighboring sub-transactions accessing a predetermined bank in each memory may access different banks. The transaction splitting apparatus includes a first processing unit to split a transaction into at least one sub-transaction, the transaction accessing a first bank among a plurality of banks comprised in a memory, and a second processing unit to translate an address of the at least one sub-transaction, to interleave the at least one sub-transaction using the plurality of banks.

Abstract: An object pose normalization method and apparatus and an object recognition method are provided. The object pose normalization method includes: determining a pose of a non-frontal image of an object; performing smoothing transformation on the non-frontal image of the object, thereby generating a smoothed object image; and synthesizing a frontal image of the object by using the pose determination result and the smoothed object image. According to the method and apparatus, a front object image can be synthesized by using a non-frontal object image without causing an image distortion problem due to self-occlusion and non-rigid deformation.