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Image information loss estimation of video stream based on improved SPIHT algorithm

  • 1210: Computer Vision for Clinical Images
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Abstract

With the continuous development of multimedia technology, digital image and video data show a massive growth. Many files containing image and video data often need to be exchanged between different users and systems, which requires effective methods to store and transfer these files. The application of video image compression and coding technology is more and more extensive. Its outstanding problem is the large amount of data, requiring a lot of transmission bandwidth and high real-time. The traditional Set Partitioning in Hierarchical Trees (SPIHT) algorithm has the disadvantages of repeated operation and large storage. In order to ensure the real-time image transmission, obtain high compression ratio and reduce the loss of image information, a new improved algorithm for image compression technology is proposed. The improved algorithm MSPIHT (modified SPIHT) introduces fast lifting wavelet transform to improve the transformation process and threshold optimization to improve the quality of real-time image restoration. Simulation results show that the improved method can reduce the loss of video stream image information, and has good real-time performance.

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Funding

Special scientific research project of Shaanxi Provincial Department of Education (2019) Application of content-based image retrieval algorithm in x-ray point feeder (19JK0288).

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Authors and Affiliations

  1. Department of Physics and Electrical Engineering, Weinan Normal University, Weinan, 714099, Shaanxi, China

    Lijie Zhai

  2. Xi’an R & D Center, Sichuan AI-Link Technology Co., Ltd, Xi’an, 710100, Shaanxi, China

    Duanhai Sheng

Authors
  1. Lijie Zhai
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  2. Duanhai Sheng
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Correspondence to Lijie Zhai.

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Zhai, L., Sheng, D. Image information loss estimation of video stream based on improved SPIHT algorithm. Multimed Tools Appl 81, 36275–36291 (2022). https://doi.org/10.1007/s11042-021-11572-x

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  • DOI: https://doi.org/10.1007/s11042-021-11572-x

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