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: A method of operating an organic light emitting display device including a red sub-pixel, a green sub-pixel, a blue sub-pixel and a white sub-pixel, wherein a first gamma voltage for the red, green and blue sub-pixels and a second gamma voltage for the white pixel are adjusted such that a sum of maximum luminances of the red, green and blue sub-pixels is substantially equal to a luminance of a white color displayed by the organic light emitting display device. With respect to a white portion of input data, a ratio of first data of the red, green and blue sub-pixels to second data of the white sub-pixel is adjusted based on a first accumulated driving amount of the red, green and blue sub-pixels and a second accumulated driving amount of the white sub-pixel.

Abstract: A display device including a first pixel including three sub-pixels for realizing only red, green, and white; and a second pixel neighboring the first pixel and including three sub-pixels for realizing only blue, green, and white.

Abstract: A display device is disclosed. The display device has pixels which include three color sub-pixels, for example, red, green, and blue sub-pixels. The pixels also include a white sub-pixel. The display calculates data for the red, green, blue, and white sub-pixels based on data for red, green, and blue sub-pixels.

Abstract: A device includes converters for converting first image data of an RGB-type into second image data of a YCbCr-type, into third image data of the YCbCr-type, and into fourth image data of the RGB-type, wherein a CbCr-coordinate system has six regions defined by coordinates of a reference color and of six primary colors, and when coordinates of the second image data are located in a region defined by coordinates of the reference color, a first primary color, and a second primary color, the coordinates of the second image data are determined by the coordinates of the reference color, the first primary color, the second primary color, coordinates of a target reference color corresponding to those of the reference color, coordinates of a first target primary color corresponding to those of the first primary color, and coordinates of a second target primary color corresponding to those of the second primary color.

Abstract: An apparatus for enhancing the visibility of color images includes: a luminance value cumulative distribution calculator that calculates a cumulative distribution function of the number of pixels from a minimum value of luminance values; a baseband signal determining unit that determines baseband signal pixels having luminance values smaller than a threshold level; a luminance compensation value generator that generates luminance compensation values to apply the lower-level luminance compensation values as the pixels have higher-level luminance values, for the pixels having the luminance values larger than the threshold level; a luminance gain generator that determines a luminance gain applied to the luminance compensation values according to a mean luminance values of the input images and the level of the luminance values of the pixels to which the luminance compensation values are applied; and a luminance value enhancing unit that summing the luminance compensation values including the gain with the luminan

Abstract: A device for mapping a color gamut includes a color gamut determinator and a color gamut mapper. The color gamut determinator determines an output color gamut using a gain value corresponding to information of a first color gamut, information of a second color gamut and a control condition. The color gamut mapper converts the color gamut of an input image data into the output color gamut. Accordingly, it is possible to provide a device and method for mapping a color gamut, which can determine an optimal color gamut corresponding to a change in control condition, and accordingly improve color accuracy and color reproducibility.

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: A color gamut conversion system comprising a color gamut conversion function generator, a color gamut converter, and a scaler is disclosed. In some embodiments, the color gamut conversion function generator is configured to generate a color gamut conversion function for determining an intermediate color gamut located in a color space between a predetermined color gamut corresponding to a display panel of a display device and a standard color gamut, the color gamut converter is configured to receive input data supplied from an external image source and convert a color coordinate of the input data according to the generated color gamut conversion function and the scaler configured is to scale a value of the data converted by the color gamut converter, generate the value as output data, and transfer the output data.

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: A display apparatus having improved display quality is disclosed. According to one aspect, the display apparatus includes a display panel including first to Mth data lines extending in a first direction, where M is an integer greater than 2, first to Nth scan lines extending in a second direction, where N is an integer greater than 2, and a plurality of pixel regions defined by one or more of the data lines and one or more of the scan lines. An image data processor is configured to process input image signals and output corrected input image signals, and a data driver is configured to receive the corrected input image signals and supply the same to the first to Mth data lines. The plurality of pixel regions include first to Mth pixel arrays extending in parallel, and the image data signal processor is configured to output the corrected input image signals to adjust a gray value applied to at least one of the first pixel array and the Mth pixel array.

Abstract: A method for rendering input data into target data includes: applying a pattern detecting window to the input data about an input pixel to detect a green light emitting pattern within the window; determining whether the detected green light emitting pattern belongs to a threshold pattern in which at least two green subpixels that are contiguously arranged emit light; and rendering the target data for a red or blue target subpixel having a first color by: applying a first filter to the input data of the first color red or blue input subpixels that are near the input pixel when the detected green light emitting pattern does not belong to the threshold pattern; and applying a second filter that is different from the first filter to the input data of the first color red or blue input subpixels when the detected green light emitting pattern belongs to the threshold pattern.

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 display apparatus includes a substrate and pixels defined on the substrate, where each of the pixels is a hexagon having a first side, a second side, a third side, a fourth side, a fifth side and a sixth side, and the sum of the length of the first side and the length of the fourth side is greater than half the sum of the lengths of the second, third, fifth and sixth sides.

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: 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: 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.