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用于实时视频超分辨率重建的GPU芯片上的网络设计

Zhiyong Peng1, Jiang Du1, Yulong Qiao2

  • 1School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.

Micromachines
|May 27, 2023
PubMed
概括

本研究介绍了使用GPU并行加速的更快的深度学习视频超分辨率 (SR) 算法. 新方法实现了实时性能,提高了SR质量,超过了现有的算法.

关键词:
在芯片上的GPU网络.深度学习是一种深度学习.查找表查看表表的表格实时处理实时处理.超级分辨率的超级分辨率

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Upsampling01:22

Upsampling

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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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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