Samsung Electronics Co., Ltd.

Koh Young Technology Inc.

Electronics and Telecommunications Research Institute

Seung Won Jung

Kee Chang Lee

Ouk Choi

Seung Kyu Lee

Do Kyoon Kim

Jong Jin Choi

Hui Yong Kim

Sung Chang Lim

Jin Ho Lee

Jin Soo Choi

Ha Hyun Lee

Jin Woong Kim

Se Yoon Jeong

Jong Ho Kim

Suk Hee Cho

Chie Teuk Ahn

Sung Jea Ko

Yeo Jin Yoon

The board inspecting apparatus include a measuring section obtaining measurement data for at least a portion of a board, a processing section comparing the measurement data and pre-obtained reference data, based on feature objects set on the board, to perform warpage compensation and inspecting the board with warpage compensated, a display section displaying ranges adjusting a first level of an inspection speed and a second level of a precision of the warpage compensation, and an input section receiving, from a user, inputs for the first and second levels as a specific setting combination having a trade-off relationship. The processing section, when the inspection speed and the precision are established, designates a specific option corresponding to the inspection speed and the precision among options increasing the precision so that the specific option is applied. Thus, users' convenience may be improved, and users may easily set options for distortion compensation.

Board inspecting apparatus and board inspecting method using the same

A board inspecting apparatus include a measuring section, a processing section and a display section. The measuring section obtains measurement data for at least a portion of a board. The processing section compares the measurement data and reference data of the board, based on selection feature objects, by associated selection feature objects, to perform distortion compensation for the board, and inspects the board with distortion compensation. The display section distinguishably displays a first area with the distortion compensation successful and a second area with the distortion compensation failed. The processing section compares a number of recognizable effective feature objects with a reference number, and determine the distortion compensation as failed when the number of the recognizable effective feature objects is below the reference number. Thus, user's convenience may be improved, a user may easily recover failure of distortion compensation, and accurate and valid distortion compensation may be available.

Board inspecting apparatus and method of compensating board distortion using the same

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.

Image processing apparatus and method for detecting transparent object in image

An image processing apparatus and method, which add depth information to a color pixel and add color information to a depth pixel in an image including the color pixel and the depth pixel includes a depth information determination unit to determine depth information of a current color pixel using peripheral color pixels of the current color pixel and peripheral depth pixels of the current color pixel.

Image processing apparatus and method for color-depth demosaicing

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.

Image processing apparatus and method for three-dimensional image zoom

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.

Apparatus and method for processing color image using depth image

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.

Apparatus and method for filling hole area of image

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.

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Seoul, South Korea

Seung Won Jung