Browse > Article

PSNR Comparison of DCT-domain Image Resizing Methods  

Kim Do nyeon (연세대학교 IT 연구단)
Choi Yoon sik (연세대학교 전기전자공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.29, no.10C, 2004 , pp. 1484-1489 More about this Journal
Abstract
Given a video frame in terms of its 8${\times}$8 block-DCT coefncients, we wish to obtain a downsized or upsized version of this Dame also in terms of 8${\times}$8 block DCT coefficients. The DCT being a linear unitary transform is distributive over matrix multiplication. This fact has been used for downsampling video frames in the DCT domains in Dugad's, Mukherjee's, and Park's methods. The downsampling and upsampling schemes combined together preserve all the low-frequency DCT coefficients of the original image. This implies tremendous savings for coding the difference between the original frame (unsampled image) and its prediction (the upsampled image).This is desirable for many applications based on scalable encoding of video. In this paper, we extend the earlier works to various DCT sizes, when we downsample and then upsample of an image by a factor of two. Through experiment, we could improve the PSM values whenever we increase the DCT block size. However, because the complexity will be also increase, we can say there is a tradeoff. The experiment result would provide important data for developing fast algorithms of compressed-domain image/video resizing.
Keywords
DCT; Image/video downsizing/upsizing; MPEG; JPEG; Scalability;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Q. Hu and S. Panchanathan, 'mage/video spatial scalibility in compressed domain,' IEEE Trans. Ind. Electron, vol. 45, pp. 23-31, Feb., 1998   DOI   ScienceOn
2 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, Apr., 2001   DOI   ScienceOn
3 H. Park, Y. Park, and S. Oh, 'L/M-fold image resizing in block-DCT domain using symmetric convolution,' IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 9, pp. 1016-1034, Sept.,2003
4 D. Kim and Y. Choe, 'Fast algorithm for discrete cosine transform (DCT)-domain image downsampling using Winograd DCTs,' Optical Engineering, vol. 42, no. 9, pp.2485-2486, Sept., 2003   DOI   ScienceOn
5 N. Merhav and V. Bhaskaran, 'Fast algorithms for DCT-domain image down sampling and for inverse motion compensation,' IEEE Trans. Circuits Syst. Video Technol., vol. 7, no. 3, pp. 468-476, June, 1997   DOI   ScienceOn
6 J. Mukherjee and S. K. Mitra, 'Image resizing in the compressed domain using subband DCT,' IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 7, pp. 620-627, July, 2002   DOI   ScienceOn
7 R. Dugad and N. Ahuja, 'A scheme for spatial scalibility using nonscalable encoders,' IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 10, pp. 993-999, Oct., 2003   DOI   ScienceOn