2020 IEEE International Conference on Image Processing (ICIP) 2020
DOI: 10.1109/icip40778.2020.9190766
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Cited by 4 publications
(1 citation statement)
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“…Huang et al [36] also introduced four hybrid loss functions of perceptual loss, edge loss, mean absolute error, and adversarial loss into network optimization for LDCT imaging and showed excellent visual perceptual quality effects. In addition, as the wavelet transform has been used in several studies on deep learning-based LDCT denoising [37]- [41], wavelet transform-based loss [42]- [44] has been applied to better preserve image details by extracting high-frequency information well.…”
Section: Introductionmentioning
confidence: 99%
“…Huang et al [36] also introduced four hybrid loss functions of perceptual loss, edge loss, mean absolute error, and adversarial loss into network optimization for LDCT imaging and showed excellent visual perceptual quality effects. In addition, as the wavelet transform has been used in several studies on deep learning-based LDCT denoising [37]- [41], wavelet transform-based loss [42]- [44] has been applied to better preserve image details by extracting high-frequency information well.…”
Section: Introductionmentioning
confidence: 99%