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基于无监督学习的高质量图像压缩算法设计.

Shuo Han1, Bo Mo1, Jie Zhao1

  • 1School of Aerospace Engineering, Beijing Institute of Technology, Beijing100081, China.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
概括

本研究介绍了一个无监督学习图像压缩算法. 它实现了高质量的压缩和重建,显著减少了图像文件大小,同时保留了细节.

关键词:
压缩比是指压缩比.内容加权的自动编码器.高质量的图像压缩.多个尺度的歧视者.没有监督的学习学习.

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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