Samsung Electro-Mechanics Co., Ltd.

Boo Dong Kwak

Won Tae Choi

Bong Soon Kang

Won Woo Jang

Joo Hyun Kim

Hak Sun Kim

Sung Jin Lee

Joo Young Ha

Kyung Rin Kim

Jung Hwan Park

Kang Joo Kim

Suk Chan Kim

Hyun Soo Kim

Sang Hyun Park

Joo Yul Ko

Won Wook So

Hyung Man Park

Sung Mok Lee

Kyoung Soo Son

Yeon Cheol Lee

Hyo Won Jeong

Kang Ju Kim

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.

Color interpolation apparatus

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.

Apparatus and method for removing red-eye in a two-dimensional (2D) image

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.

2D image segmentation apparatus and method, and apparatus and method for removing red-eye in the image

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.

Method of grouping pixels in 2D digital image

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.

Apparatus and method of removing color noise of digital image

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.

Apparatus for removing ringing noise and apparatus for removing noise

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.

Apparatus for improving sharpness of image

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.

Method of performing auto white balance in YCbCr color space

A telephone signal cancellation circuit, a digital broadcasting reception circuit and a portable digital broadcasting reception apparatus is provided. The telephone signal cancellation circuit, includes a signal coupler for separating a part of a reception signal, a telephone signal selection filter for passing a telephone signal among signals from the signal coupler, a phase shifter for performing phase inversion on the telephone signal among the signals from the telephone signal selection filter, and a combiner for combining the signal from the phase shifter and the reception signal, and canceling the telephone signal included in the reception signal.

Telephone signal cancellation circuit, digital broadcasting reception circuit and portable digital broadcasting reception apparatus

A digital white balance device is simply implemented in a digital processing scheme by employing a grey world algorithm. In the device, a timing controller receives vertical and horizontal synchronization signals of an input image and produces a timing control signal. An RGB multiplier multiplies input RGB image data by RGB gains received from an RGB gain controller. A first YCbCr averaging unit converts input RGB image data to YCbCr image data, and obtains first YCbCr averages of this YCbCr image data. A second YCbCr averaging unit converts output RGB image data to YCbCr image data, and obtains second YCbCr averages of this YCbCr image data. According to the timing control signal, the RGB gain controller compares the second YCbCr averages with predetermined target YCbCr averages, respectively, and obtains RGB gains based on the first YCbCr averages, according to the compared result, and provides them to the RGB multiplier.

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Gyunggi-do, South Korea

Boo Dong Kwak