Infrared and Visible Image Fusion Using a Deep Unsupervised Framework With Perceptual Loss
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3037770
Abstract: The fusion of infrared and visible images can utilize the indication characteristics and the textural details of source images to realize the all-weather detection. The deep learning (DL) based fusion solutions can reduce the computational… read more here.
Keywords: perceptual loss; visible image; fusion; loss ... See more keywords
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182821
Abstract: Convolutional neural network (CNN)-based denoisers have been successful in low-dose CT (LDCT) denoising tasks. However, image blurring in the denoised images remains a problem, and it is mainly caused by pixel-level losses during the training… read more here.
Keywords: loss; perceptual loss; image; specific perceptual ... See more keywords
Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3144327
Abstract: Recently, the use of a deep autoencoder-based method in blind spectral unmixing has attracted great attention as the method can achieve superior performance. However, most autoencoder-based unmixing methods use non-structured reconstruction loss to train networks,… read more here.
Keywords: loss constrained; adversarial autoencoder; loss; perceptual loss ... See more keywords
Efficient Texture Parameterization Driven by Perceptual‐Loss‐on‐Screen
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DOI: 10.1111/cgf.14696
Abstract: Texture mapping is a ubiquitous technique to enrich the visual effect of a mesh, which represents the desired signal (e.g. diffuse color) on the mesh to a texture image discretized by pixels through a bijective… read more here.
Keywords: perceptual loss; efficient texture; texture parameterization; loss ... See more keywords
Unpaired Image Denoising via Wasserstein GAN in Low-Dose CT Image with Multi-Perceptual Loss and Fidelity Loss
Sign Up to like & getrecommendations! Published in 2021 at "Symmetry"
DOI: 10.3390/sym13010126
Abstract: The use of low-dose computed tomography (LDCT) in medical practice can effectively reduce the radiation risk of patients, but it may increase noise and artefacts, which can compromise diagnostic information. The methods based on deep… read more here.
Keywords: image; low dose; perceptual loss; loss fidelity ... See more keywords