Abstract
Multimedia applications reach a dramatic increase in nowadays life. Therefore, video coding scalability is more and more desirable. Spatial scalability allows the adaptation of the bit-stream to end users as well as varying terminal capabilities. This paper presents a new Discrete Wavelet Transform (DWT) based coding scheme, which offers spatial scalability from one hand and ensures a simple hardware implementation compared to the other predictive scalable compression techniques from the other. Experimental results have shown that our new compression scheme offers also good compression efficiency. Indeed, it achieves up to 61\% of bit-rate saving for Common Intermediate Format (CIF) sequences using lossy compression and up to 57\% using lossless compression compared with the Motion JPEG2000 standard and 64\% compared with a DWT-coder based on Embedded Zero tree Wavelet (EZW) entropy encoder.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Cheikhrouhou, S., Ben Jemaa, Y., Ben Ayed, M.A., Masmoudi, N. (2012). An Efficient Spatial Scalable Video Encoder Based on DWT. In: Das, V.V., Ariwa, E., Rahayu, S.B. (eds) Signal Processing and Information Technology. SPIT 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32573-1_11
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DOI: https://doi.org/10.1007/978-3-642-32573-1_11
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