Abstract:
PURPOSE: A method and an apparatus for generating illumination characteristic data of the circumference of an image display device and a method and an apparatus for compensating color variance using the same are provided to acquire the characteristic of illumination environment in the circumference of the image display device and record the acquired characteristic when an image is displayed on the image display device. CONSTITUTION: An illumination characteristic acquiring unit(100) acquires illumination characteristic data including information about the type and brightness of illumination. An illumination characteristic data generating unit(150) generates the acquired illumination characteristic data as illumination characteristic data with a data format including a type block indicating information about a type of an illumination light and a brightness block indicating information about the brightness of the illumination light.
Abstract:
PURPOSE: A method and an apparatus for generating illumination characteristic data of the circumference of an image display device and a method and an apparatus for compensating color variance using the same are provided to acquire the characteristic of illumination environment in the circumference of the image display device and record the acquired characteristic when an image is displayed on the image display device. CONSTITUTION: An illumination characteristic acquiring unit(100) acquires illumination characteristic data including information about the type and brightness of illumination. An illumination characteristic data generating unit(150) generates the acquired illumination characteristic data as illumination characteristic data with a data format including a type block indicating information about a type of an illumination light and a brightness block indicating information about the brightness of the illumination light.
Abstract:
본 발명은 입력 영상을 비즈니스 그래픽 영상 또는 사진 영상으로 분류하는 기술에 관한 것이다. 영상 분류 장치는 입력 영상을 밝기-채도 색공간의 성분으로 변환하는 색공간 변환부와, 상기 변환된 성분 중 밝기 성분의 밝기 빈도 분포를 계산하는 밝기 분석부와, 상기 변환된 성분 중 채도 성분의 평균을 계산하는 채도 분석부와, 상기 계산된 밝기 빈도 분포 및 채도 성분의 평균을 이용한 평가 함수를 소정의 문턱값과 비교하여 상기 입력 영상을 분류하는 영상 분류부로 이루어진다. 영상 속성, 사진 영상, 비즈니스 영상, CIELab
Abstract:
An image processing method and apparatus are provided to allow a user to generate a 3D(Three-Dimensional) image at a low cost and allow a single image capturing device to extract depth information of an image. When a user input unit receives an image capture request from a user(S810), a driving unit controls the movement of an image capturing unit(S820). The image capturing unit moves under the control of the driving unit to perform image capturing at each different time point(S830). A 3D processing unit generates an image including 3D information by using a plurality of images provided from the image capturing unit(S840).
Abstract:
A color image scanning apparatus and a method thereof are provided to reproduce a desired color in scanning certain photographic paper. A storage unit(108) includes a look-up table including correction values obtained by correcting the first color data, which has been obtained as the first photographic paper including a plurality of color patches are scanned, according to the type of the photographic paper. A final image generating unit(110) corrects the second color data, which is obtained as the second photographic paper is scanned, with reference to a look-up table corresponding to the second photographic paper of the look-up table. A scanning unit(101) scans the first photographic paper to generate the first color data. An extracting unit(102) extracts each color data with respect to a plurality of color patches from the first color data. A correcting unit(104) corrects each extracted color data according to the type of the photographic paper to generate the correction value. A look-up table generating unit(107) generates the look-up table according to the type of the photographic paper.
Abstract:
An apparatus and a method for correcting gray data are provided to provide consistent, high quality color data which is not influenced by the subject of a user. A converting unit(210) converts RGB data inputted to a source device into certain color data by using a color appearance model. A correcting unit(220) maps a chromaticity value of gray data into a certain numerical value in a color space including the converted color data as a component. The converting unit calculates a chroma value by converting the RGB data into HSV data. A controller(230) checks whether the chroma value is within a certain pre-set range based on the gray data. If the chroma value is within the pre-set range, the correcting unit maps the chromaticity value of the gray data to a zero value.
Abstract:
A color transformation method for a wide-color-range color space is provided to display all the data of a wide-color-range color space by not performing any clipping for color components in outputting the image data of the wide-color-range color space directly through a wide-range-color display device. If YCC data, such as a JPEG file, are inputted(200), a control part sub-samples YCC image data in order to convert the YCC data into an RGB color space value(202). Then the control part transforms the sub-sampled YCC image data into RGB data using a 3x3 YCC-RGB transformation matrix(204). The control part judges whether the number of pixels, which are not within the range of 0 to 1 among the transformed data, exceeds t %(206). If so, the control part executes transformation from the original YCC image to an RGB color space(208). Then the control part judges whether R, G, and B data respectively are smaller than "p" or larger than "q"(210). If not, the control part clips the RGB data within the range of "-a" to "1+a". The control part divides the clipped RGB data into a core region and a surround region(214). Then the control part maps the clipped RGB data according to the core region and the surround region(216), transforms the clipped RGB data into CMY color space data using an RGB-CMY lookup table(218), and outputs the transformed data(224).
Abstract:
A multi focus camera apparatus and a method for generating a focus-free image and an out-of-focus image using the same are provided to enable an image sensor unit to convert light passing through each lens at each of sensing areas into an electric signal to obtain plural images, thereby increasing DOF(Depth Of Focus). A lens unit(110) includes plural lenses for concentrating incident light. An image sensor unit(120) has plural sensing areas in correspondence with the plural lenses and converts light, passing through each lens at each sensing area, into an electric signal to obtain plural images. An angle of view correcting unit(130) performs a correction operation so that the obtained plural images can have the same size. Each lens has the same optical characteristic, has different distance from the sensing area, and processes the corrected plural images to generate a single image.
Abstract:
A dithering device for multi-tone expression is provided to output a smooth image of high image quality in which a contour is removed when expressing a high-tone input image through a low-tone output device such as an LCD(Liquid Crystal Display), a PDP(Plasma Display Panel), a color printer, a flexible display device, and a mobile display device. A master pattern generating device(100) selects pattern values composing a mask pattern for an R channel, a G channel, and a B channel on the basis of a voluntarily determined seed value, and generates the mask pattern for the channels. A spatial weight value determining device(200) determines a weight value for spatial dithering by using the pattern values and K-bit LSB(Least Significant Bit) data of an input image. An output device(400) reflects the weight value to M-bit input image data except for the K-bit LSB data, and outputs an image of M-bit data.
Abstract:
An apparatus and a method for editing an optimized preference color are provided to extract training data with respect to a user's personal preference, make the user learn a neural network for the preference and predict a color information variation using the learned neural network. An apparatus for editing an optimized preference color includes a color information controller(100), a training unit(200), and an image correcting unit(300). The color information controller compares color information of the original image to color information of an image obtained by transforming the original image according to user's preference to extract training data with respect to the preference. The training unit learns a neural network with respect to the preference based on the extracted training data and predicts a color information variation according to the neural network. The image correcting unit corrects color information of an input image according to the predicted color information variation.