Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지

Elimination of the Red-Eye Area using Skin Color Information

  • Kim, Kwang-Baek (Division of Computer and Information Engineering, Silla University) ;
  • Song, Doo-Heon (Department of Computer Game & Information, Yong-in Song Dam College)
  • Published : 2009.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

The red-eye effect in photography occurs when using a photographic flash very close to the camera lens, in ambient low light due to in experience. Once occurred, the photographer needs to remove it with image tool that requires time consuming, skillful process. In this paper, we propose a new method to extract and remove such red-eye area automatically. Our method starts with transforming ROB space to YCbCr and HSI space and it extracts the face area by using skin color information. The target red-eye area is then extracted by applying 8-direction contour tracking algorithm and removed. The experiment shows our method's effectiveness.

Keywords

References

  1. http://academic.naver.com/view.nhn?doc_id=159 7340&ApplicationNumber= 1 020047003838
  2. P. Maria, B. Panagiota, Image Processing, John & Wiley & Sons Ltd., 1999.
  3. K. B. Kim, G. Heo, Y. W. Woo, "Container Image Recognition using Fuzzy-based Noise Removal Method and ART2-based SelfOrganizing Supervised Learning Algorithm," The Journal of The Korea Institute of Maritime Information & Communication Sciences, Vol.11, No.7, pp.1380-1386, 2007
  4. K. B. Kim, " Recognition of Container Identifiers Using 8-directional Contour Tracking Method and Refined RBF Network," International Journal of Maritime Information and Communication Sciences, Vol.6, No.1, pp.100-104, 2008
  5. K. B. Kim, S. Kim, "Hierarchical Recognition of English Calling Card by Using Multiresolution Images and Enhanced Neural Network," Lecture Notes in Artificial Intelligence, LNAI 3801, Springer, pp.785-792, 2005
  6. K. B. Kim, G. Heo, Y. W. Woo, "Container Image Recognition using Fuzzy-based Noise Removal Method and ART2-based SelfOrganizing Supervised Learning Algorithm," The Journal of The Korea Institute of Maritime Information & Communication Sciences, Vol.11, No.7, pp.1380-1386, 2007