Multi-view residual image coding technique using adaptive quentization and scanning method 


Vol. 27,  No. 3, pp. 249-257, Mar.  2002


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  Abstract

In this paper, an effective coding method for stereo and multi-view images using disparity estimation/compensation including residual image coding technique is proposed. First, a fixed block matching algorithm is used to find the corresponding area and half-pixel disparity estimation technique is used to enhance the accuracy of disparity vector. Then, overlapped block disparity compensation technique is used to reduce noise and improve coding efficiency. A residual coding technique, which is based on the directional properties of DCT coefficient, is applied to the stereo or the multi-view images. Quantization and scanning methods are applied differently according to the directions of blocks.
The proposed residual coding technique shows improvements in compression ratio as well as in PSNR in comparision with the conventional methods. We apply this algorithm to multi-view image and evaluate the performance of the algorithm with optimal reference view selection. We basically considered the relative size of occlusion area to select the optimal reference view.

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  Cite this article

[IEEE Style]

J. Lim and K. Sohn, "Multi-view residual image coding technique using adaptive quentization and scanning method," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 249-257, 2002. DOI: .

[ACM Style]

Jeong-Eun Lim and Kwanghoon Sohn. 2002. Multi-view residual image coding technique using adaptive quentization and scanning method. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 249-257. DOI: .

[KICS Style]

Jeong-Eun Lim and Kwanghoon Sohn, "Multi-view residual image coding technique using adaptive quentization and scanning method," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 249-257, 3. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880