Abstract: Provided is an image processing apparatus and method for detecting a transparent image from an input image. The image processing apparatus may include an image segmenting unit to segment an input image into a plurality of segments, a likelihood determining unit to determine a likelihood that a transparent object is present between adjacent segments among the plurality of segments, and an object detecting unit to detect the transparent object from the input image based on the likelihood.

Abstract: The present invention relates to a method for manufacturing a light emitting knob based on a novel process that is capable of preventing a letter that is separated from a light blocking metal plate at a display window forming step and a surface treatment step from being separated from a resin layer irrespective of the shape or the type of the letter, which constitutes a light emitting display window, thereby considerably reducing a defect rate. The method includes a metal plate processing step, a display groove forming step, a resin layer coupling step, and a display window forming step.

Abstract: An image processing apparatus and method for zooming in on a partial area in a three-dimensional (3D) image selects a zoom mode from among a two-dimensional (2D) zoom mode, a 3D zoom mode, and an intermediate dimensional zoom mode between the 2D zoom mode and the 3D zoom mode. The image processing apparatus may include a mode selecting unit to select a zoom mode to be applied to a zoom area in a color image and a depth image among the 2D zoom mode, the 3D zoom mode, and the intermediate dimensional zoom mode between the 2D zoom mode and the 3D zoom mode, and a scaling unit to scale the zoom area using a zoom factor indicating magnification or minification of the zoom area and the selected zoom mode.

Abstract: The present invention relates to a method for manufacturing a light emitting knob based on a novel process that is capable of preventing a letter that is separated from a light blocking metal plate at a display window forming step and a surface treatment step from being separated from a resin layer irrespective of the shape or the type of the letter, which constitutes a light emitting display window, thereby considerably reducing a defect rate. The method includes a metal plate processing step, a display groove forming step, a resin layer coupling step, and a display window forming step.

Abstract: Provided is an image processing method including: receiving a depth map and a color image with respect to a predetermined scene; projecting a plurality of points included in the depth map, onto the color image; segmenting the color image, onto which the depth map is projected, by using at least two image segmentation methods to generate respective segmentation results, and classifying the plurality of points included in the color image into at least one set according to the respective segmentation results; assigning a depth value to each of the plurality of points of the color image included in the set; and outputting the color image, to which the depth values are assigned.

Abstract: A color balancing apparatus for multiple image synthesis and a method therefore, in which an automatic white balance unit, with respect to each of a plurality of input images that are obtained by sequentially capturing adjacent scenes, is configured to compare a neutral color representing the input image with chromaticity of standard sources that are predefined, determine a standard source which is closest to the neutral color among the standard sources as a standard illuminant, and perform a white balance on the input image based on the standard illuminant, so that a natural wide-area synthesis image is generated by use of a light source estimation scheme considering multiple light sources, without complex computation of the conventional wide-area image synthesis, are provided.

Abstract: Provided is an image processing apparatus and method for detecting a transparent image from an input image. The image processing apparatus may include an image segmenting unit to segment an input image into a plurality of segments, a likelihood determining unit to determine a likelihood that a transparent object is present between adjacent segments among the plurality of segments, and an object detecting unit to detect the transparent object from the input image based on the likelihood.

Abstract: Provided is a method of manufacturing an abrasive particle including a mother particle and a plurality of auxiliary particles formed on a surface of the mother particle, and a method of manufacturing a polishing slurry in which the abrasive particle is mixed with a polishing accelerating agent and a pH adjusting agent.

Abstract: A method for generating a just noticeable depth difference (JNDD) model including controlling a real size of an object to maintain a perceived size of the object for a plurality of depth testing levels, measuring a JNDD of a three-dimensional (3D) display for the plurality of depth testing levels by increasing or decreasing the real size of the object, and generating a JNDD model of the 3D display based on the measurement result.

Abstract: Provided is a method of manufacturing an abrasive particle including a mother particle and a plurality of auxiliary particles formed on a surface of the mother particle, and a method of manufacturing a polishing slurry in which the abrasive particle is mixed with a polishing accelerating agent and a pH adjusting agent.

Abstract: Provided is an image processing apparatus and method for adjusting a color image using a depth image. The image processing apparatus may include a color image segmenting unit to segment a color image into a plurality of color segments, using a color layer of the color image, a depth image segmenting unit to segment a depth image into a plurality of depth segments, using a depth layer of the depth image, and a layer boundary adjusting unit to adjust a boundary value of the color layer, using the plurality of color segments and the plurality of depth segments.

Abstract: An apparatus and method for processing an image based on a motion of an object, the apparatus including a motion estimator configured to estimate a motion of an object included in a current image, an image determiner configured to determine a neighboring image neighboring the current image based on the motion of the object, and a pixel value determiner configured to determine a pixel value of a hole region neighboring the object based on the neighboring image is provided.

Abstract: The present invention relates to a system for providing food expiration date information using a TTI (time temperature integrator) and a method for providing food expiration date information using the same. The system for providing the food expiration date information and the method for providing the food expiration date information using the same of the present invention includes: an input unit for receiving TTI information, food information, and distribution history information; a calculation unit for producing a TTI indication value corresponding to an expiration date of the food; and an output unit which determines and outputs a color corresponding to the expiration date of the food among stages of colors which can be expressed through the TTI according to time and temperature conditions using the TTI indication value.

Abstract: Provided is an image processing apparatus and method for filling a hole area in an image. The image processing apparatus may include a candidate pixel setting unit to set a plurality of candidate pixels corresponding to at least one hole pixel in a hole area using neighboring pixels around the hole area, and a pixel value determining unit to determine a pixel value of the hole pixel using the plurality of candidate pixels.

Abstract: A polishing slurry for tungsten and a substrate polishing method are disclosed. The polishing slurry includes an abrasive for performing polishing and having positive zeta potential, and a potential modulator for promoting the oxidation of the tungsten and for controlling the zeta potential of the abrasive.

Abstract: Provided are a method and an apparatus for encoding images using template matching and a method and an apparatus for decoding images. The method for encoding the images can determine a template of an encoding target block and can determine a matching search target image for performing a matching search with the determined template among the recovered reference images. In addition, an optimum prediction block can be determined on the basis of the determined matching search target image and the template of the encoding target block.

Abstract: Provided is a method of manufacturing an abrasive particle including a mother particle and a plurality of auxiliary particles formed on a surface of the mother particle, and a method of manufacturing a polishing slurry in which the abrasive particle is mixed with a polishing accelerating agent and a pH adjusting agent.

Abstract: Provided are an abrasive particle including auxiliary particles formed on a surface of a mother particle, a polishing slurry prepared by mixing the abrasive particles with a polishing accelerating agent and a pH adjusting agent, and a method of manufacturing a semiconductor device in which an insulating layer is polished by the polishing slurry while using a conductive layer as a polishing stop layer.

Abstract: Provided is an image processing method including: receiving a depth map and a color image with respect to a predetermined scene; projecting a plurality of points included in the depth map, onto the color image; segmenting the color image, onto which the depth map is projected, by using at least two image segmentation methods to generate respective segmentation results, and classifying the plurality of points included in the color image into at least one set according to the respective segmentation results; assigning a depth value to each of the plurality of points of the color image included in the set; and outputting the color image, to which the depth values are assigned.

Abstract: A method of processing a depth image includes receiving a high-resolution color image and a low-resolution depth image corresponding to the high-resolution color image, generating a feature vector based on a depth distribution of the low-resolution depth image, selecting a filter to upsample the low-resolution depth image by classifying a generated feature vector according to a previously learnt classifier, upsampling the low-resolution depth image by using a selected filter, and outputting an upsampled high-resolution depth image.