Abstract
General procedure for stereo image coding is to use disparity compensated prediction methods and code residuals separately. Although the characteristics of stereo residuals are different from those of common images, JPEG-like methods which are applied to monocular images are used frequently and less research has been devoted to residual image coding. The focus of this paper is to make stereo image coding more efficient by speculating the characteristics of the residual image. By measuring the edge tendency of residual image, our method modifies the quantization matrix adaptively using discrete wavelet transform.
This work was partially supported by the Brain Korea 21 project in 2004 and KIPA-Information Technology Research Center.
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© 2004 Springer-Verlag Berlin Heidelberg
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Koo, HS., Jeong, CS. (2004). Adaptive Quantization of DWT-Based Stereo Residual Image Coding. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_175
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DOI: https://doi.org/10.1007/978-3-540-30497-5_175
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24127-0
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