Abstract: There are disclosed a DC-DC converter and an organic light emitting display including the same. The DC-DC converter includes a first voltage generator that has an inductor and a plurality of transistors, and converts an input voltage into a first voltage and outputs the first voltage to a first output terminal. The DC-DC converter also includes a controller that controls driving of the first voltage generator by supplying a first driving pulse to each transistor of the first voltage generator. In the DC-DC converter, the amplitude of the first driving pulse is adjustable. Accordingly, it is possible to provide a DC-DC converter and an organic light emitting display including the same, which can achieve high power conversion efficiency by change a driving pulse used in a DC-DC converter.

Abstract: An organic light emitting device is provided. The organic light emitting device includes an organic light emitting panel, a drive unit receiving image data and image luminance discrimination signal that includes information on a maximum luminance of the image and providing a data voltage corresponding to the image luminance discrimination signal to the organic light emitting panel, and a power supply unit providing a common voltage to the organic light emitting panel. The common voltage is varied to correspond to the image luminance discrimination signal.

Abstract: An apparatus for auto white balance includes a histogram generation unit writing respective histograms of Cb values and Cr values with regard to pixels included in an input image frame, a single-tone determination unit comparing respective maximum values of the histograms of Cb values and Cr values with a first threshold value, and determining the input image frame as a single-tone image if at least one of the maximum values is higher than the first threshold value, and an auto white balance gain computation unit computing and an auto white balance gain by using color information of an input image frame and outputting the computed auto white balance gain, wherein if the input image frame is determined to be a single-tone image, the auto white balance gain computation unit outputs an auto white balance gain computed with respect to a previous input image frame.

Abstract: There is provided an apparatus for improving the sharpness of an image, which may prevent occurrence of distortion of an image in an edge enhancement process of the image by applying an active weight in accordance with a two-dimensional (2D) high pass filtering value of the image. The apparatus may include: a 2D high pass filter outputting a high frequency element value for the luminance values of pixels of an input image; a weight generating unit generating a weight changed depending on a magnitude of the high frequency element value; a weight applying unit applying the weight to the high frequency element value; and an edge enhancement image generating unit adding, to the luminance values of the pixels of the input image, the high frequency element value to which the weight is applied to thereby output an image of which an edge is enhanced.

Abstract: An apparatus and method for removing red-eye in a 2D image, which can remove red-eye more naturally and apply a gain for a real-time correction on input pixels by differently performing a correction degree according to positions of pixels included in red-eye.

Abstract: The present invention provides an apparatus for measuring a location and a distance of an object by using a camera including: a camera module for photographing an external image; a parameter setup unit for setting internal and external parameters of the camera module; an image processor unit for receiving a captured image of an image photographed from the camera module, extracting a target object within the captured image, and extracting specific point coordinates of the extracted target object; and a location and distance calculating unit for calculating three-dimensional object location information in a two-dimensional camera coordinate system through the internal and external parameters of the camera module and coordinates of the target object, and calculating distance information from the location information of the object.

Abstract: An apparatus and method for removing red-eye in a 2D image, which can remove red-eye more naturally and apply a gain for a real-time correction on input pixels by differently performing a correction degree according to positions of pixels included in red-eye.

Abstract: A Two-Dimensional (2D) image segmentation apparatus for segmenting pixels of a progressive input 2D image includes a group information storing unit storing information of pixel groups including a plurality of adjacent pixels; a pixel determining unit determining coordinates of an input pixel, and determining whether the input pixel is an effective pixel for segmentation; a group scanning unit scanning a adjacent pixel group disposed in a scan range preset from the effective pixel in the group storing unit when the input pixel is determined as the effective pixel by the pixel determining unit; and a group information updating unit updating information of a pixel group stored in the group information storing unit according to whether there is the scanned adjacent pixel group and a pixel group including an input pixel preceding the effective pixel. Moreover, a method is provided that removes red-eye using area information of a pixel group determined by the segmentation apparatus.

Abstract: There is provided a method of grouping pixels in a 2D digital image that assigns labels to regions of objects to differentiate between objects separated in the input image and groups a region of an object having the same label into one group when pattern recognition and image process are performed on the 2D digital image. A method of grouping pixels in a 2d digital image according to an aspect of the invention may include: determining whether a target pixel in an input image is included in a labeling section; determining whether the target pixel is connected to a previous pixel of the target pixel and an upper pixel located adjacent to and above the target pixel to perform a labeling process, and renewing a label table while saving a labeling result in a line memory when the target pixel is included in the labeling section and is a valid pixel including object information; and grouping pixels of the input image using the labeling result and the renewed label table, and renewing a group.

Abstract: A method for eliminating noise from an image generated by an image sensor, includes: setting a group of pixels arranged in a square matrix and including a central pixel intended to eliminate the noise in the image and peripheral pixels arranged around the central pixel; obtaining absolute difference values between a luminance value of the central pixel and a luminance value of the peripheral pixels according to directionalities of the peripheral pixels about the central pixel; comparing the obtained absolute difference values with first critical values to determine a region to which the central pixel belongs; when the determined region is the contour region, eliminating noise of the group of the pixels according to directionality of the contour; and when the determined region is the noise region, eliminating the noise of the group of the pixels according to a noise level of the group of the pixels.

Abstract: A histogram stretching apparatus and a histogram stretching method are disclosed to enhance image contrast by stretching a histogram of an input image within a range of a preset maximum expansion level and a preset minimum expansion level. The histogram stretching apparatus performs proper stretching suitable for a characteristic of the input image in due consideration of a saturation portion and a distribution range of a histogram of the input image. The histogram stretching apparatus can improve stretching effects by removing the saturated portion of the input image, and can prevent image distortion even for a monochromatic image. The histogram apparatus can improve histogram stretching effects by adjusting entire image levels of an image having a histogram frequency distribution skewed to a dark or bright side before a stretching operation.

Abstract: Provided are an apparatus for removing ringing noise and an apparatus for removing noise. The apparatuses includes a representative value setting block dividing pixel data in one block including a plurality of pixel data into two groups through a K-means algorithm and setting a representative value in each of the groups; a parameter generator block calculating intervals and approaches between all the pixel data in the block and a pair of the representative values; and a correction block correcting an inputted pixel data value using the intervals and the approaches.

Abstract: There is provided an apparatus for removing color noise including: a color interpolation unit performing color interpolation on a bayer pattern image output from an image sensor; a high-pass filter unit performing high-pass filtering on each of the pixels of the bayer pattern image to generate high-pass filtered values of each of the pixels; a high frequency region determining unit comparing pixel values of a target pixel, from which color noise is removed, and pixels adjacent to the target pixel with the high-pass filtered values to determine whether the target pixel is included in a high frequency region; and a color noise region determining unit using differences between color values of the target pixel interpolated by the color interpolation unit and determining whether the target pixel is included in a color noise region when it is determined that the target pixel is included in the high frequency region.

Abstract: Provided is an apparatus for improving the sharpness of an image. The apparatus includes an edge detector, an effective edge judging unit, an effective edge classifying unit, an isolated edge judging unit, and a 2-D HPF applying unit. The edge detector calculates an edge value using brightness relation with neighboring pixels with respect to each of pixels of an input image. The effective edge judging unit determines effective edge pixels. The effective edge classifying unit determines weak edge pixels and strong edge pixels. The isolated edge judging unit judges an isolated edge pixel included in an isolated edge. The 2-D HPF applying unit applies a first 2-D HPF to the weak edge pixels, and applies a second 2-D HPF to the strong edge pixels to generate edge strengthening values. The edge strengthening value applying unit adds the edge strengthening values to brightness values of the respective pixels of the input image.

Abstract: An apparatus for controlling gain of color signal includes an auto white balance algorithm applying unit determining a white estimation region from an input image, and calculating a first color signal gain for correcting an average color signal level of pixels of the white estimation region to white, a pixel determining unit determining a form of each pixel according to brightness and color using the color signal level of the each pixel of the input image, and a color signal gain determining unit determining a color signal gain to be applied to the each pixel according to the form of the each pixel of the input image as any one of the first color signal gain, a second color signal gain determined by the color signal level of the each pixel for correcting the each pixel to white and a unit gain.

Abstract: An apparatus and method for controlling auto exposure (AE) that is used in digital imaging devices. The apparatus controlling the luminance of an image being outputted from an image sensor by controlling exposure time and analog gain of the image sensor includes: a luminance operation unit operating and outputting a mean luminance of the image outputted from the image sensor; a shutter index determination unit comparing a predetermined target luminance with the mean luminance of the outputted image and determining a shutter index in different manners according to the magnitude of the difference between the target luminance and the mean luminance of the outputted image; and an exposure time/analog gain determination unit generating exposure time and analog gain corresponding to the shutter index determined in the shutter index determination unit and applying the generated exposure time and analog gain to the image sensor.

Abstract: An auto-exposure control method includes: creating an exposure table and an analog gain table including an exposure time and an analog gain of an image sensor set according to an index, respectively; calculating an average luminance value of an image frame obtained by the image sensor; checking whether or not the average luminance value is within a pre-set range including a prescribed final target value; if the average luminance value is not within the pre-set range, determining a shift step from indexes which have been applied to a current image frame according to the difference between the average luminance value and the final target value in order to determine indexes of the exposure table and the analog gain table to be applied to a next image frame; and repeatedly performing of reading an exposure time and an analog gain corresponding to the indexes shifted by the shift step determined from the indexes applied to the current image frame, from the exposure table and the analog gain table, applying the sam

Abstract: There is provided an apparatus for improving the sharpness of an image, which may prevent occurrence of distortion of an image in an edge enhancement process of the image by applying an active weight in accordance with a two-dimensional (2D) high pass filtering value of the image. The apparatus may include: a 2D high pass filter outputting a high frequency element value for the luminance values of pixels of an input image; a weight generating unit generating a weight changed depending on a magnitude of the high frequency element value; a weight applying unit applying the weight to the high frequency element value; and an edge enhancement image generating unit adding, to the luminance values of the pixels of the input image, the high frequency element value to which the weight is applied to thereby output an image of which an edge is enhanced.

Abstract: There are provided an apparatus and a method for estimating edge areas of pixels in a digital image to thereby prevent an edge sharpening algorithm from being applied to non-edge area of the digital image. Therefore, the apparatus can accurately determine whether each pixel is in an edge area or in a non-edge area, by generating a binary mask obtained by using a luminance difference average between each pixel and each of neighboring pixels in the digital image. Moreover, the determination of an edge-area or a non-edge area may be applied to various digital images, by adjusting a level of edge-area determination.

Abstract: There is provided a method of performing auto white balance including: setting a plurality of sections of a whole range of a value of each of Y, Cb, and Cr in the YCbCr color space, according to a size of each value; calculating an accumulated Y, Cb, and Cr value of pixels included in each of the plurality of sections; determining effective sections according to the number of the pixels included in each of the plurality of sections; calculating a mean Y, Cb, and Cr value of pixels included in all of the effective sections by using the accumulated Y, Cb, and Cr value of each of the effective sections; calculating a mean RGB value by converting the mean Y, Cb, and Cr value into an RGB color space; and determining an RGB color gain of a Bayer image outputted from an image sensor by using the mean RGB value.