Fast image filtering by DCT-based kernel decomposition and sequential sum update

研究成果: Conference contribution

6 引用 (Scopus)

抜粋

This paper presents an approximate Gaussian filter which can run in one-pass with high accuracy based on spectrum sparsity. This method is a modification of the cosine integral image (CII), which decomposes a filter kernel into few cosine terms and convolves each cosine term with an input image in constant time per pixel by using integral images and look-up tables. However, they require much workspace and high access cost. The proposed method solves the problem with no decline in quality by sequentially updating sums instead of integral images and by improving look-up tables, which accomplishes a one-pass approximation with much less workspace. A specialization for tiny kernels are also discussed for faster calculation. Experiments on image filtering show that the proposed method can run nearly two times faster than CII and also than convolution even with small kernel.

元の言語English
ホスト出版物のタイトル2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
ページ125-128
ページ数4
DOI
出版物ステータスPublished - 2012 12 1
イベント2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
継続期間: 2012 9 302012 10 3

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷物)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
United States
Lake Buena Vista, FL
期間12/9/3012/10/3

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • これを引用

    Sugimoto, K., & Kamata, S. I. (2012). Fast image filtering by DCT-based kernel decomposition and sequential sum update. : 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 125-128). [6466811] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6466811