CNN-Based Classification of Degraded Images Without Sacrificing Clean Images
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DOI: 10.1109/access.2021.3105957
Abstract: Image classification needs to consider image degradations in practice because an image classification network trained with clean images works poorly for degraded images while digital images usually include some degradations such as JPEG compression. To… read more here.
Keywords: classification; degraded images; network; clean images ... See more keywords
CNN-Based Classification of Degraded Images With Awareness of Degradation Levels
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3045659
Abstract: Image classification needs to consider the existence of image degradations in practice. Although degraded images have various levels of degradation, the degradation levels are usually unknown. This paper proposes a convolutional neural network to classify… read more here.
Keywords: degradation; classification; degraded images; proposed network ... See more keywords
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3120075
Abstract: Realizing autonomous vehicles is one of the ultimate dreams for humans. However, perceptual information collected by sensors in dynamic and complicated environments, in particular, vision information, may exhibit various types of degradation. This may lead… read more here.
Keywords: context prediction; autonomous vehicles; degraded images; perceptual enhancement ... See more keywords