Chung Ang University Industry Academic Cooperation

Korea Electronics Technology Institute

Samsung Electronics Co., Ltd.

Joonki Paik

Yong-Hwan Kim

Je-Woo Kim

Hyungtae Kim

Tae Chan Kim

Minjung Lee

Ji-Ho Park

Byeong-Ho Choi

Seonyung Kim

Donggyun Kim

Miri Kim

Jinbeum Jang

Sang-Hee Lim

Hyeok-Koo Jung

Hyung Gu Lee

Provided are a system and method for correcting an image through estimation of a distortion parameter. The method includes receiving a distorted image including one or more measurement targets, extracting a plurality of feature points from each of the measurement targets, classifying the one or more measurement targets as a distorted target and an undistorted target by comparing distances between the plurality of extracted feature points and a center point of the received distorted image with each other, estimating a distortion parameter on the basis of standard deviations of a plurality of feature points of the classified distorted target and undistorted target, and correcting the received distorted image on the basis of the estimated distortion parameter.

System and method for correcting image through estimation of distortion parameter

The apparatus includes: a weighted feature extractor configured to extract a weighted feature from an input image and generate a weighted descriptor to which a feature of a salient region is applied; a dictionary constructor configured to construct a dictionary composed of images with different characteristics of one object using the weighted descriptor to which the feature of the salient region is applied by the weighted feature extractor and store the dictionary in a database (DB); and a coefficient estimator and ID determiner configured to apply sparse representation for estimating a coefficient that allows an object to be reconstructed as much as possible with a few linear combinations of candidate objects of a target object constituting the dictionary, and perform identification using an error between a target and the reconstructed object.

Apparatus and method for re-identifying object in image processing

In one example embodiment, a lens calibration method includes generating a distorted image by distorting a pattern image that includes at least two reference points separated from a center of the pattern image by different distances. The method further includes generating lens calibration data by comparing the pattern image with the distorted image.

Methods for lens calibration and image restoration

A method for coding an RGB color space signal is disclosed. In accordance with the method, a base plane is encoded using an independent mode, and an enhanced plane is encoded by referring to the base plane without converting the RGB color space signal into YCbCr color space signal to reduce a redundancy between RGB planes and improve a compression ratio of an image.

Method for coding RGB color space signal

Provided is an apparatus and method for transforming between a DCT coefficient and a DWT coefficient. The transforming apparatus includes a first fundamental matrix calculating unit, a second fundamental matrix calculating unit, and a DWT coefficient calculating unit. The first fundamental matrix calculating unit calculates a first fundamental matrix by multiplying an N&#xd7;N forward DWT transform matrix and an N&#xd7;N matrix that has diagonal components corresponding to a transpose matrix of an 8&#xd7;8 DCT transform matrix and the remaining components corresponding to an 8&#xd7;8 matrix with all elements being zero. The second fundamental matrix calculating unit calculates a second fundamental matrix by multiplying an M&#xd7;M matrix, which has diagonal components corresponding to an 8&#xd7;8 DCT transform matrix and the remaining components corresponding to an 8&#xd7;8 matrix with all elements being zero, and a transpose matrix of an M&#xd7;M forward DWT transform matrix. The DWT coefficient calculating unit calculates a 2-dimensional 1-level DWT coefficient by multiplying the first fundamental matrix, a 2-dimensional 8&#xd7;8 DCT transform coefficient, and the second fundamental matrix.

Apparatus and method for transforming between discrete cosine transform coefficient and discrete wavelet transform coefficient

Disclosed herein is an adaptive motion estimation and mode decision apparatus and method for an H.264 video codec. The apparatus includes a background image detection unit, an inter mode inspection unit, an intra mode inspection unit and a mode inspection skip unit. The background image detection unit inspects whether a fixed background or slowly and regularly moving block exists, and skips the step of dividing a first corresponding macroblock into smaller sized blocks and performing block mode inspection. The inter mode inspection unit inspects whether an irregularly or fast moving macroblock exists, and determines whether to divide a corresponding macroblock into smaller sized blocks and to perform block mode inspection on the smaller sized blocks. The intra mode inspection unit performs AZCB inspection on the macroblocks, and determines whether to divide a corresponding macroblock into smaller sized blocks block and to perform mode inspection on the smaller sized blocks. The mode inspection skip unit skips the block mode inspection for the smaller sized blocks.

Adaptive motion estimation and mode decision apparatus and method for H.264 video codec

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Seoul, South Korea

Joonki Paik