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Developing novel video coding model using modified dual-tree wavelet-based multi-resolution technique

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Abstract

All data are kept on digital platforms in today’s digital world, demanding a lot of storage space for images and video, as well as a lot of bandwidth for transmission. Data that have been compressed is highly beneficial for storing more data at the time. The objectives of this work are to examine various compression techniques developed by various researchers and to develop a new video compression method based on multi-resolution techniques. Initially, the video is compressed using wavelet transform and different encoding techniques. As a result, all comparisons will use Empirical Wavelet Transform (EWT). The encoding techniques used here are H.264, Huffman, LZW, SPIHT, and their combinations. With the help of various performance matrices combination of H.264 and modified SPIHT gives better performance. The SPIHT is modified to overcome the limitations of normal SPIHT. The encoding block is constant throughout the next phase, whereas the transform part is variable. The image is transformed using the Biorthogonal Wavelet, Coiflet Wavelet, Demeyer Wavelet, Mexican Hat Wavelet, Dual-Tree Wavelet, Dual-Tree 3d Wavelet, Curvelet, and Modified Dual-Tree Wavelet. This Modified Dual-Tree Wavelet performs better than DTCWT and overcomes its limitations. When comparing the outcomes of several video coding methods, it was discovered that Modified DTCWT with a combination of H.264 and SPIHT provides the best results.

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Authors and Affiliations

  1. Department of Electronics Engineering, St Joseph college of Engineering and Technology, Pala, Kerala, India

    S. S. Nithin

  2. Department of Electrical and Electronics Engineering, Baselios Mathews II College of Engineering, Kollam, Kerala, India

    L. K. Padma Suresh

  3. Department of Computer Science and Engineering, Baselios Mathew II College of Engineering, Kollam, Kerala, India

    S. H. Krishnaveni

  4. Department of Electrical and Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    P. Muthukumar

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  1. S. S. Nithin
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  2. L. K. Padma Suresh
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  3. S. H. Krishnaveni
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  4. P. Muthukumar
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Nithin, S.S., Suresh, L.K.P., Krishnaveni, S.H. et al. Developing novel video coding model using modified dual-tree wavelet-based multi-resolution technique. Multimedia Systems 28, 643–657 (2022). https://doi.org/10.1007/s00530-021-00863-w

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