Abstract
Integer Motion Estimation (IME) for block-based video coding introduces significant challenges in power consumption and silicon area usage with the adoption of more complex coding tools and higher resolution. To conquer these problems, this paper proposes an Binary Adaptive Luminance Mapping (BALM) algorithm by exploiting the local correlation in image and give a Very-large-scale Integration (VLSI) architecture for its implementation. We test the algorithm performance with different Number of Truncated Bits (NTB). And, the experimental results show that our proposed BALM achieves higher rate-distortion (RD) performance compared with previous proposed bit reduction approach and PSNR degradation is relatively small when NTB.5 using our scheme. And, the NTB4 BALM can achieve 37.3% silicon area saving and power consumption reduction with just PSNR loss of 0.1 dB in our proposed IME architecture.
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Ji, X., Liu, J., Zhu, C., Jia, H., Xie, X., Gao, W. (2013). Binary Adaptive Luminance Mapping for Motion Estimation. In: Huet, B., Ngo, CW., Tang, J., Zhou, ZH., Hauptmann, A.G., Yan, S. (eds) Advances in Multimedia Information Processing – PCM 2013. PCM 2013. Lecture Notes in Computer Science, vol 8294. Springer, Cham. https://doi.org/10.1007/978-3-319-03731-8_41
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DOI: https://doi.org/10.1007/978-3-319-03731-8_41
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