Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Method for Extracting Mosaic Blocks Using Boundary Features

경계 특징을 이용한 모자이크 블록 추출 방법

  • Received : 2015.08.25
  • Accepted : 2015.10.05
  • Published : 2015.12.31
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Abstract

Recently, with the sharp increase of digital visual media such as photographs, animations, and digital videos, it has been necessary to generate mosaic blocks in a static or dynamic image intentionally or unintentionally. In this paper, we suggest a new method for detecting mosaic blocks contained in a color image using boundary features. The suggested method first extracts Canny edges in the image and finds candidate mosaic blocks with the boundary features of mosaic blocks. The method then determines real mosaic blocks after filtering out non-mosaic blocks using geometric features like size and elongatedness features. Experimental results show that the proposed method can detect mosaic blocks robustly rather than other methods in various types of input images.

최근 들어 사진, 애니메이션, 동영상과 같은 디지털 시각 매체가 폭발적으로 증가함에 따라서 의도적 또는 비의도적으로 입력 영상 내에 모자이크 블록들을 생성해야 할 필요성이 증가하고 있다. 본 논문에서는 입력된 컬러 영상에 존재하는 모자이크 블록들을 경계 특징을 이용하여 효과적으로 검출하는 방법을 제안한다. 제안된 방법에서는 먼저 입력 영상으로부터 캐니 에지를 검출하고, 검출된 에지로부터 모자이크 블록의 경계 특징을 추출하여 모자이크 블록이 존재할 가능성이 있는 후보 영역들을 찾는다. 그런 다음, 기하학적인 특징을 활용하여 비 모자이크 영역들을 제거하고 실제적인 모자이크 블록들만을 검출한다. 본 논문의 실험 결과에서는 제안된 방법이 다양한 종류의 입력 영상에서 모자이크 블록들을 강건하게 검출한다는 것을 보여준다.

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References

  1. B. Gan, T. Menkhoff, and R. Smith, "Enhancing students' learning process through interactive digital media: New opportunities for collaborative learning," Computers in Human Behavior, vol. 51, Part B, pp. 652-663, October 2015. https://doi.org/10.1016/j.chb.2014.12.048
  2. S. Lee, S. Rho, and J. H. Park, "Multimedia contents adaptation by modality conversion with user preference in wireless network," Journal of Network and Computer Applications, vol. 37, pp. 25-32, January 2014. https://doi.org/10.1016/j.jnca.2011.03.034
  3. S.-F. Sun, S.-H. Han, G. Wang, Y.-C. Xu, and B.-J. Lei, "Mosaic defect detection in digital video," in Proceedings of the IEEE Chinese Conference on Pattern Recognition (CCPR), pp. 1-5, October 2010.
  4. Y.-J. Park and G.-Y. Kim, "A study on detection of mosaic in adult image," in Proceedings of the Korea Society of Computer and Information Conference, vol. 22, no. 1, pp. 63-64, 2014.
  5. D. Guo, J. Tang, Y. Cui, J. Ding, and C. Zhao, "Saliencybased content-aware lifestyle image mosaics," Journal of Visual Communication and Image Representation, vol. 26, pp. 192-199, January 2015. https://doi.org/10.1016/j.jvcir.2014.11.011
  6. X. Huang, H. Ma, and H. Yuan, "Video mosaic block detection based on template matching and SVM," in Proceedings of the IEEE International Conference for Young Computer Scientist (ICYCS), pp. 1082-1086, November 2008.
  7. Z. Wei, J. Lin, L. Zhang, and S. Song, "Mosaic defect detection based on macro block solid edge detection," Research Journal of Applied Science, Engineering and Technology, no. 5, vol. 13, pp. 3549-3553, April 2013.
  8. J. Liu, L. Huang, and J. Lin, "An image mosaic block detection method based on fuzzy c-means clustering," in Proceedings of the IEEE International Conference on Computer Research and Development (ICCRD), vol. 1, pp. 237-240, March 2011.
  9. S. Nashat, A. Abdullah, and M. Z. Abdullah, "Unimodal thresholding for Laplacian-based Canny-Deriche filter," Pattern Recognition Letters, vol. 33, no. 10, pp. 1269-1286, July 2012. https://doi.org/10.1016/j.patrec.2012.03.023
  10. M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," Journal of Electronic Imaging, vol. 13, no. 1, pp. 146-165, January 2004. https://doi.org/10.1117/1.1631315
  11. X.-C. Yuan, L.-S. Wu, and Q. Peng "An improved Otsu method using the weighted object variance for defect detection," Applied Surface Science, vol. 349, pp. 472-484, September 2015. https://doi.org/10.1016/j.apsusc.2015.05.033