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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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Noise Suppression in Compressive Single-Pixel Imaging.

Xianye Li1,2, Nan Qi1, Shan Jiang2

  • 1Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China.

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|September 23, 2020
PubMed
Summary
This summary is machine-generated.

Compressive single-pixel imaging (CSPI) effectively reconstructs images despite noise. New methods address multiplicative and additive noise, improving image quality and surpassing traditional techniques for better denoising in compressive sensing applications.

Area of Science:

  • Optics and photonics
  • Signal processing
  • Computational imaging

Background:

Keywords:
compressive sensingdetection noise suppressionsingle-pixel imaging

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  • Compressive single-pixel imaging (CSPI) enables high-resolution image reconstruction with minimal detector requirements.
  • Noise is an inherent challenge in CSPI, impacting image quality and reconstruction accuracy.
  • Effective noise reduction strategies are crucial for practical CSPI applications.