Earticle

초록

영어

Significant color discrepancies between the different camera views can be observed in multi-view video sequences. In this paper, a color adjustment algorithm based on support vector regression is proposed. A mapping function is established by extracted feature points from original-image and target-image. Then the mapping function is applied to the original image to obtain the corrected image. Experimental results show that the proposed method can produce good correction result. It also shows that the color differences between multi-view video can be effectively reduced by SVR.

목차

Abstract
 1. Introduction
 2. Support Vector Regression
 3. Color Correction Based on the Support Vector Regression
  3.1. CIELAB Color Workspace
  3.2. Selection of Training Data
  3.3. Color Correction Algorithm Based on SVR
 4. Experimental Results and Analysis
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Huadong Sun [ Huadong Sun, | School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Xuesong Jin [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Zhipeng Fan [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Lizhi Zhang [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Qian Wu [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605