Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Luminance Correction for Stereo Images using Histogram Interval Calibration

히스토그램 구간 교정을 이용한 스테레오 영상의 휘도 보정

  • Received : 2013.08.13
  • Accepted : 2013.12.02
  • Published : 2013.12.25
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Abstract

In stereo-view system, variations of target camera position or lighting conditions cause discrepancies on the luminance and chrominance components of stereo views. These discrepancies lead to inaccurate frame view prediction and low quality of 3 D video coding. In this paper, an efficient histogram interval calibration method is proposed for stereo-view coding, so as to compensate for the luminance component of target view. First the proposed method is analyzed by the histogram of the target image frame. Then, it divide two sections of histogram of that frame to correct the color discrepancies. Secondly, each section of the target frame is corrected the luminance component by identify the maximum matching region between the reference frame and the target frame. We have verified our proposed histogram matching method in comparison with the other color correction ones. Experimental results show that it can correct better luminance calibration results of PSNR(Peak Signal to Noise Ratio) and has less computation time.

스트레오뷰(Stereoview) 시스템에서 카메라 위치 또는 광원의 변화는 양안에 해당하는 두 영상 사이에서 휘도에 대한 색상 분포에 차가 발생 한다. 이러한 색상변화 차는 입체영상(3D) 코딩의 품질을 저하 시키거나 적합하지 않는 프레임이 발생한다. 이러한 휘도에 대한 색상분포 차를 보정하기 위하여 본 논문에서는 스트레오뷰 코딩을 위한 효율적인 히스토그램 구간 보정방법을 제안하였다. 제안한 방법은 타겟뷰의 히스토그램을 분석하여 두 개의 영역으로 구분한 후 기준이 되는 영상의 히스토그램과 영역별 최대 매칭 영역을 분석하여 컬러편차를 보정하도록 하였다. 그리고 제안한 히스토그램 매칭 방법을 다른 컬러 보정방법과 비교하여 휘도 성분 교정을 검증 하였다. 실험 결과 제안하는 알고리즘이 연산 속도와 휘도 교정 PSNR(Peak Signal to Noise Ratio) 결과에서 더 좋은 결과를 보였다.

Keywords

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