Browse > Article

Illumination Mismatch Compensation Algorithm based on Layered Histogram Matching by Using Depth Information  

Lee, Dong-Seok (광운대학교 전자공학과 디지털미디어 연구실)
Yoo, Ji-Sang (광운대학교 전자공학과 디지털미디어 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.8C, 2010 , pp. 651-660 More about this Journal
Abstract
In this paper, we implement an efficient histogram-based prefiltering to compensate the illumination mismatches in regions between neighboring views. In multi-view video, such illumination disharmony can primarily occur on account of different camera location and orientation and an imperfect camera calibration. This discrepancy can cause the performance decrease of multi-view video coding(MVC) algorithm. A histogram matching algorithm can be exploited to make up for these differences in a prefiltering step. Once all camera frames of a multi-view sequence are adjusted to a predefined reference through the histogram matching, the coding efficiency of MVC is improved. However general frames of multi-view video sequence are composed of several regions with different color composition and their histogram distribution which are mutually independent of each other. In addition, the location and depth of these objects from sequeuces captured from different cameras can be different with different frames. Thus we propose a new algorithm which classify a image into several subpartitions by its depth information first and then histogram matching is performed for each region individually. Experimental results show that the compression ratio for the proposed algorithm is improved comparing with the conventional image-based algorithms.
Keywords
Multiview Video Coding (MVC); Image Classification; Histogram Matching; Illumination Compensation (IC);
Citations & Related Records
연도 인용수 순위
  • Reference
1 PL.Lai, A. Ortega, P. Pandit, P. Yin, C. Gomila, "Adaptive Reference Filtering for MVC," JVT-W065.doc, San Jose, USA, April, 21-27, 2007.
2 C. Doutre, P. Nasiopoulos, "A Colour Correction Preprocessing Method for Multiview Video Coding," Department of Electronic and Computer Engineering, University of British Columbia.
3 이동석, 유지환, 유지상,"히스토그램 매칭을 이용한 다시점 비디오의 휘도와 색차 성분 보상 기법", 한국방송공학회 학술대회, Nov., 2009, pp.191-194.
4 ITU-T RECOMMENDATION H.264 "Advanced Video Coding for Generic Audiovisual Services," May, 2003.
5 C. A. Bouman, " Cluster: An unsupervised algorithm for modeling gaussian mixtures," http://cobweb.ecn.purdue.edufbouman/software/ cluster/, thisversionwasreleasedinJul.2005.
6 이동석, 서영호, 김동욱, 유지상, "깊이 정보에 따라 여러 객체로 분리한 영상 단위의 히스토그램 매칭에 기반한 다시점 비디오의 조명 불일치 보상 기법," 한국방송공학회 학술대회, Jul., 2010.
7 D.-S. Lee, Y.-H. Seo, D.-W. Kim, and J.-S. Yoo, " Depth-Dependent Histogram Matching for Illumination Compensation of Multiview Video," International Conference on 3D Systems and Application, pp.227-230, May, 2010.
8 U. Fecker, M. Barkowsky, and A. Kaup, "Tìme-constant histogram matching for colour compensation of multi-view video sequences," in Proc. 26th Picture Coding Symp. (PCS 2007), Lisbon, Portugal, Nov., 2007.
9 U. Fecker, M. Barkowsky, and A. Kaup, "Histogram-Based Prefiltering for Luminance and Chrominance Compensation of Multiview Video," IEEE Trans., Vol.18, No.9, Sep., 2008.
10 이동석, 유지상, "다시점 비디오의 휘도 및 색차 성분 불일치 보상을 위한 히스토그램 매칭 기반의 전처리 기법", 2010.
11 Y. Su., A. Vetro, and A. Smolic, "Common test conditions for multiview video coding," (2006) Doc. JVT-U211, [Online]. Available: http://ftp3.itu.ch/av-arch/jvt-site/