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A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation

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Abstract

One of the critical challenges facing 3D video systems and images such as holography lies in their compression technique. High-efficiency video coding (HEVC) has emerged as one of the leading schemes to address this challenge. In this article, a novel method based on wavelet transform is presented to improve HEVC, particularly in digital holography systems (object plane). In this regard, wavelet and resizing are included in the coding process, while extra HEVC decoders and encoders are added to predict and decrease errors in the target. Simulation results reveals that the proposed algorithm reduces Bjøntegaard-Delta (BD) bitrate 17.5% (based on average BD-Rate values) compared to the original HEVC (H.265) scheme while maintaining signal fidelity and even enhancing it slightly. We observe an increased BD-peak-signal-to-noise ratio (BD-PSNR) in real and imaginary parts of digital holograms of high rate quantization values up to 1.1 dB.

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Authors and Affiliations

  1. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Vahid Hajihashemi & Abdoreza Alavi Gharahbagh

  2. University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada

    Hamid Esmaeili Najafabadi & Henry Leung

  3. Yazd University, Yazd, Iran

    Mahdi Yousefan

  4. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

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  1. Vahid Hajihashemi
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  2. Hamid Esmaeili Najafabadi
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  3. Abdoreza Alavi Gharahbagh
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  4. Henry Leung
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  6. João Manuel R. S. Tavares
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Correspondence to Hamid Esmaeili Najafabadi.

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Hajihashemi, V., Najafabadi, H.E., Gharahbagh, A.A. et al. A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation. Multimed Tools Appl 80, 31953–31966 (2021). https://doi.org/10.1007/s11042-021-11232-0

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