Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Image Resizing in an Arbitrary Block Transform Domain Using the Filters Suitable to Image Signal

임의의 직교 블록 변환 영역에서 영상 특성에 적합한 필터를 사용한 영상 해상도 변환

  • Oh, Hyung-Suk (College of Electronics and Information Engr., Kyunghee University) ;
  • Kim, Won-Ha (College of Electronics and Information Engr., Kyunghee University) ;
  • Koo, Jun-Mo (MCube Works)
  • Published : 2008.09.25
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we develop a method that changes the resolutions of images in an arbitrary block transform domain by using a filter that suits to the characteristics of the underlying images. To accomplish this, we represent each procedure resizing images in an arbitrary transform domain as matrix multiplications and we derive the matrix that scales the image resolutions from the matrix multiplications. The resolution scaling matrix is also designed to be able to select the up/down-sampling filter that suits the characteristics of the image. Experiments show that the proposed method produces the reliable performances when it is applied to various transforms and to images that are mixed with predicted and non-predicted blocks which are generated during video coding.

본 논문에서는 임의의 블록 변환 영역에서 영상의 특성에 적절한 필터를 사용하여 영상의 해상도를 변환하는 기법을 개발 한다. 이를 위하여 임의의 직교 transform 영역에서 해상도 변환을 수행하는 모든 과정을 matrix 곱으로 표현하여 해상도 변환을 수행하는 matrix를 유도한다. 해상도 변환을 수행하는 matrix는 영상 특성에 알맞은 필터를 선택하여 사용할 수 있도록 설계한다. 개발된 기법은 다양한 transform 영역에 적용할 수 있고, 동영상 부호화시 발생되는 inter/intra block들이 혼합되어 있는 영상의 해상도 변환에 적용 가능함을 실험을 통하여 검증하였다.

Keywords

References

  1. H. Sun, X. Chen, T. Chiang, Digital Video Transcoding for Transmission and Storage, CRC Press, New York, 2005
  2. H. S. Malvar, A. Hallapuro, M. Karczewicz and L. Kerofsky, "Low-Complexity Transform and Quantization in H.264/AVC" IEEE Trans. Circuits. Syst., Video Technol., vol. 13, No. 7, pp. 598-603, July 2003 https://doi.org/10.1109/TCSVT.2003.814964
  3. Iain E. G. Richardson, H.264 and MPEG-4 Video Compression, Wiley, Hoboken, 2004
  4. R. Dugad and N. Ahuja, "A Fast Scheme for Image Size Change in the Compressed Domain" IEEE Trans. Circuits. Syst., Video Technol., vol. 11, No. 4, pp. 461-474, April 2001 https://doi.org/10.1109/76.915353
  5. H.W. Park, Y.S. Park and S.K.O, "L/M-Fold Image Resizing in Block-DCT Domain Using Symmetric Convolution" IEEE Trans. Image Processing, vol. 12, No. 9, pp. 1016-1034, September 2003 https://doi.org/10.1109/TIP.2003.816008
  6. C.L. Salazar and Trac D. Tran, "On resizing image in the DCT domain", in Proc. IEEE International Conference on Image Processing(ICIP), Singapore, vol. 4, pp. 2797-2800, Oct. 2004
  7. H. Shu, L. P. Chau, "An Efficient Arbitrary Downsizing Algorithm for video transcoding", IEEE Trans. Circuits. Syst., Video Technol., vol. 14, No. 6, pp/ 887-891, June 2004 https://doi.org/10.1109/TCSVT.2004.828327
  8. G. Strang, T. Nguyen, Wavelets and Filter Banks, Wellesley-Cambridge Press, Wellesley, 1997
  9. W. B. Pannebaker and J. L. Mitchell, JPEG Still Image Data Compression Standard, Van Nostrand, New York, 1993
  10. S. Gorden, "Simplified use of 8x8 transforms", JVT-I022, Joint Video Team(JVT) of ISO/IEC MPEG & ITU-T VCEG 9th Meeting : San Diego USA, Sept. 2003
  11. K.A. Birney and T.R. Fischer, "On the modeling of DCT and subband image data for compression", IEEE Trans. Image Processing, vol. 4, No. 2, pp. 186-193, Feb. 1995 https://doi.org/10.1109/83.342184
  12. J. Reichel, H. Schwarz, M. Wien, ed., "Draft of Scalable Video Coding-Working Draft 4", JVT-Q201, Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG, 17th Meeting : Nice, France, Oct. 2005