Abstract: A display device includes a driver for a display panel. The display panel includes a first area and a second area that includes a plurality of pixels. The driver includes a master driver and a slave driver. The master driver compensates a first image signal for the first area to generate a first compensation signal based on the first image signal and a second image signal for the second area. A first data signal corresponding to the first compensation signal and a scan control signal a provided to the first area. The slave driver compensates the second image signal to generate a second compensation signal based on the first image signal and the second image signal. A second data signal corresponding to the second compensation signal and the scan control signal are provided to the second area.

Abstract: A display device includes a non-volatile memory device including a plurality of memory sets and a controller to store deterioration data of the pixels in each of the memory sets, to compensate input image data based on the deterioration data to generate output image data, and to provide output signals corresponding to the output image data to the scan driver and the data driver.

Abstract: An organic light emitting display includes a plurality of pixels and a compensation unit. Each of the pixels includes a driving transistor to control an amount of current supplied to a corresponding organic light emitting diode. The compensation unit is coupled to the pixels by data lines and includes at least one sensing unit. The sensing unit extracts threshold voltage information from the pixels corresponding to respective driving transistors. The sensing unit receives noise currents from a plurality of data lines, offset the noise currents, and extracts the threshold voltage information after offset of the noise currents.

Abstract: A display device includes a driver for a display panel. The display panel includes a first area and a second area that includes a plurality of pixels. The driver includes a master driver and a slave driver. The master driver compensates a first image signal for the first area to generate a first compensation signal based on the first image signal and a second image signal for the second area. A first data signal corresponding to the first compensation signal and a scan control signal a provided to the first area. The slave driver compensates the second image signal to generate a second compensation signal based on the first image signal and the second image signal. A second data signal corresponding to the second compensation signal and the scan control signal are provided to the second area.

Abstract: A noise-removing circuit includes a first capacitor to charge a first voltage supplied to a first node during a first period in which a first switching control signal is supplied, a second capacitor to charge a second voltage supplied to a third node during the first period, a third capacitor to charge the first voltage during a second period in which a second switching control signal is supplied, and to charge the second voltage charged in the second capacitor as a third voltage during a third period in which a third switching control signal is supplied, a fourth capacitor to charge the second voltage during the second period, and to charge the first voltage charged in the first capacitor as a fourth voltage during the third period, and a differential amplifier to output a voltage difference between the third voltage and the fourth voltage.

Abstract: A pixel luminance compensating unit is disclosed. In one aspect, the disclosed pixel luminance compensating unit includes an uncompensated gray-level region processing unit configured to generate first output-data by processing first input-data corresponding to a first portion of an input luminance curve corresponding to an uncompensated gray-level region. The disclosed unit further includes a compensated gray-level region processing unit configured to generate second output-data by processing second input-data corresponding to a second portion of the input luminance curve corresponding to a compensated gray-level region.

Abstract: A display device includes a non-volatile memory device including a plurality of memory sets and a controller to store deterioration data of the pixels in each of the memory sets, to compensate input image data based on the deterioration data to generate output image data, and to provide output signals corresponding to the output image data to the scan driver and the data driver.

Abstract: A color interpolation apparatus includes a threshold value determining unit that calculates a luminance value of each area set based on each pixel of a Bayer pattern image and determines edge determining threshold values, an edge information calculating unit that calculates pixel value variations in multiple directions of the set areas by using pixel values of pixels included in each area and edge information regarding each area by using the multiple directional pixel value variations, an area determining unit that determines an edge type by using the edge determining threshold values and the edge information, and a color interpolation unit that applies a color interpolation filter previously set according to the edge type to a corresponding area according to the edge type. The area determining unit uses green information or interpolated green information of a central pixel depending on whether or not a color of the central pixel is green.

Abstract: An organic light emitting display includes a plurality of pixels and a compensation unit. Each of the pixels includes a driving transistor to control an amount of current supplied to a corresponding organic light emitting diode. The compensation unit is coupled to the pixels by data lines and includes at least one sensing unit. The sensing unit extracts threshold voltage information from the pixels corresponding to respective driving transistors. The sensing unit receives noise currents from a plurality of data lines, offset the noise currents, and extracts the threshold voltage information after offset of the noise currents.

Abstract: A noise-removing circuit includes a first capacitor to charge a first voltage supplied to a first node during a first period in which a first switching control signal is supplied, a second capacitor to charge a second voltage supplied to a third node during the first period, a third capacitor to charge the first voltage during a second period in which a second switching control signal is supplied, and to charge the second voltage charged in the second capacitor as a third voltage during a third period in which a third switching control signal is supplied, a fourth capacitor to charge the second voltage during the second period, and to charge the first voltage charged in the first capacitor as a fourth voltage during the third period, and a differential amplifier to output a voltage difference between the third voltage and the fourth voltage.

Abstract: A pixel luminance compensating unit is disclosed. In one aspect, the disclosed pixel luminance compensating unit includes an uncompensated gray-level region processing unit configured to generate first output-data by processing first input-data corresponding to a first portion of an input luminance curve corresponding to an uncompensated gray-level region. The disclosed unit further includes a compensated gray-level region processing unit configured to generate second output-data by processing second input-data corresponding to a second portion of the input luminance curve corresponding to a compensated gray-level region.

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: 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: 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 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.

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.