Browse > Article
http://dx.doi.org/10.5909/JBE.2013.18.1.10

New Adaptive Interpolation Based on Edge Direction extracted from the DCT Coefficient Distribution  

Kim, Jaehun (Department of Electronics and Computer Engineering, Hanyang University)
Kim, Kibaek (Department of Electronics and Computer Engineering, Hanyang University)
Jeon, Gwanggil (Department of Embedded Systems Engineering, University of Incheon)
Jeong, Jechang (Department of Electronics and Computer Engineering, Hanyang University)
Publication Information
Journal of Broadcast Engineering / v.18, no.1, 2013 , pp. 10-20 More about this Journal
Abstract
Nowadays, video technology has been successfully improved creating tremendous results. As video technology improve, multimedia devices and demands from users are diversified. Therefore, a video codec used in these devices should support various displays with different resolutions. The technology to generate a higher resolution image from the associated low-resolution image is called interpolation. Interpolation is generally performed in either the spatial domain or the DCT domain. To use the advantages of both domains, we have proposed the new adaptive interpolation algorithm based on edge direction, which adaptively exploits the advantages of both domains. The experimental results demonstrate that our algorithm performs well in terms of PSNR and reduces the blocking artifacts.
Keywords
Up-sampling; interpolation; DCT; wiener filter;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. J. Park and J. C. Jeong, "Hybrid image upsampling method in the discrete cosine transform domain," IEEE Trans. on Consumer Electronics, vol. 56, no. 4, November 2010.
2 R. G. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, no. 6, pp.1153-1160, 1981.
3 J. A. Parker, R. V. Keyon and D. E. Troxel, "Comparison of interpolation methods for image resampling," IEEE Trans. on Image Processing, MI-2, no.1, March 1983.
4 T. M Lehmann, C. Gpmmer and K. Spotzer, "Survey: Interpolation methods in medical image processing," IEEE Trans. Medical Imaging, vol. 18, no. 11, pp. 1049-1075, November 1999.   DOI   ScienceOn
5 Advanced Video Coding for Generic Audiovisual Service ITU-T and ISO/IEC JTC1, Rec. H.264-ISO/IEC 14496-10 AVC, 2003.
6 R. Dugad and N. Ahuja, "A fast scheme for image size change in the compressed domain," IEEE Trans. Circuits, Syst., Video Technol., vol. 11, pp. 461-474. 2011.
7 H. W. Park, Y. S. Park, and S. K. Oh, "L/M-fold image resizing in block-DCT domain using symmetric convolution," IEEE Trans. Image Process., vol. 12, no. 9, pp. 1016-1034, Sep. 2003.   DOI   ScienceOn
8 I. Shin and H. W. Park, "Adaptive up-sampling method using DCT for spatial scalability of scalable video coding," IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 2, Feb. 2009.
9 Z. Wu, H. Yu and C. W. Chen, "A new hybrid DCT-wiener-based interpolation scheme for video intra frame up-sampling," IEEE Signal Processing Letters, vol. 17, no. 10, October 2010.
10 ITU-TRec. H.264/ISO/IEC 14 496-10 AVC, Mar. 2003.
11 J. Ribs-Corbera, "Core Experiment on Motion Compensated Prediction: Accuracy and Inteprolation", ITU-T Q15-I-59, Oct. 1999.
12 S. W. Park, J. H. Park, B. M. Jeon, H. W. Park, "Efficient Image Upsampling using Frequency Resolution Expansion Schemes in DCT Domain", The journal of broadcast engineering 2005, Vol. 10, No. 4, pp. 505-514, December 2005.