Deep Residual Variational Autoencoder for Image Super-Resolution

Justice Kwame Appati; Pius Gyamenah; Ebenezer Owusu; Winfred Yaokumah

doi:10.1007/978-3-031-43838-7_7

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Deep Residual Variational Autoencoder for Image Super-Resolution

Justice Kwame Appati Pius Gyamenah Ebenezer Owusu Winfred Yaokumah

Year: 2023 Communications in computer and information science Pages: 91-103 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-43838-7_7

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Keywords:

Autoencoder Upsampling Computer science Artificial intelligence Residual Generative grammar Deep learning Autoregressive model Encoder Image (mathematics) Pixel Pattern recognition (psychology) Algorithm Mathematics

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep Residual Variational Autoencoder for Image Super-Resolution

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