Abstract
Since a block-based frequency transform is applied to residual data in lossy coding, it can reduce the spatial correlation efficiently. However, since residual data obtained from prediction is directly encoded without transform and quantization in lossless coding, there are some differences of the statistical properties in residuals between lossy and lossless coding. Based on the statistical characteristics of residuals in the spatial domain, we proposed an efficient context-based adaptive binary arithmetic coder (CABAC) for lossless residual coding. Experimental results show that the proposed CABAC provided approximately 19% bit saving, compared to the conventional CABAC.
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Heo, J., Ho, YS. (2011). Improved Entropy Coder in H.264/AVC for Lossless Residual Coding in the Spatial Domain. In: Ho, YS. (eds) Advances in Image and Video Technology. PSIVT 2011. Lecture Notes in Computer Science, vol 7087. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25367-6_24
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DOI: https://doi.org/10.1007/978-3-642-25367-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25366-9
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