Scaling-based energy-quality multilevel control for aerial imagery
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College of Information Science and Technology, Donghua University, Shanghai 201620, China

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    Abstract:

    This paper designs an energy-quality multilevel framework for the coding and transmission of aerial images, and then introduces a scaling-based intra encoder with flexible sampling factor (SF) and quantization parameter (QP). By experimentally investigating how different coding configurations affect the complexity-rate-quality characteristics of aerial images, this paper derives a configuration estimation model between energy-quality level and appropriate (SF, QP) configuration. By utilizing the model, a bivariate control scheme is proposed so as to progressively adjust sender's energy consumption under quality constraints. The experimental results show that the proposed scheme can achieve better energy-quality tradeoff with a wider quality range, and reduce the energy consumption above a certain quality.

    Reference
    [1] Nguyen V. A., Tan Y. P. and Lin W. S., Adaptive Downsampling/Upsampling for Better Video Compression at Low Bit Rate, Proc. of IEEE International Symposium on Circuits and Systems, 1624 (2008).
    [2] Lee H., Lee Y., Lee J., Lee D. and Shin H., IEEE Transactions on Consumer Electronics 55, 1682 (2009).
    [3] Rhee C. E., Kim J. S. and Lee H. J., EURASIP Journal
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GONG Xiao-hui, LIU Hao, SUN Jia-tong, ZHANG Xin-sheng, SUN Xiao-fan. Scaling-based energy-quality multilevel control for aerial imagery[J]. Optoelectronics Letters,2018,14(5):384-390

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History
  • Received:August 18,2017
  • Revised:April 01,2018
  • Online: March 26,2019
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