Results 141 to 150 of about 750,933 (209)

Design of a Novel Conditional Noise Predictor for Image Super-Resolution Reconstruction Based on DDPM. [PDF]

J Imaging
Zhang J, Sun H, Fan H, Xiong Y, Zhang J.
europepmc   +1 more source

SVTSR: image super-resolution using scattering vision transformer. [PDF]

Sci Rep
Liang J, Jin Y, Chen X, Huang H, Deng Y.
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MambaOSR: Leveraging Spatial-Frequency Mamba for Distortion-Guided Omnidirectional Image Super-Resolution. [PDF]

Entropy (Basel)
Wen W, Zhao Q, Shao X.
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction. [PDF]

PeerJ Comput Sci
Hong Z, Liang G, Xiong L.
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Feature enhanced cascading attention network for lightweight image super-resolution. [PDF]

Sci Rep
Huang F, Liu H, Chen L, Shen Y, Yu M.
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SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution. [PDF]

Sci Data
Aybar C, Montero D, Contreras J, Donike S, Kalaitzis F, Gómez-Chova L.   +5 more
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Single-Image Super-Resolution via Cascaded Non-Local Mean Network and Dual-Path Multi-Branch Fusion. [PDF]

Sensors (Basel)
Xu Y, Wang Y.
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NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution. [PDF]

Comput Biol Med
Pang K, Zhao K, Hung ALY, Zheng H, Yan R, Sung K.   +5 more
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A very lightweight image super-resolution network.

Sci Rep
Bai H, Liang X.
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Image Super-Resolution Via Sparse Representation

IEEE Transactions on Image Processing, 2010
This paper presents a new approach to single-image super-resolution, based on sparse signal representation. Research on image statistics suggests that image patches can be well-represented as a sparse linear combination of elements from an appropriately chosen over-complete dictionary.
Yang, Jianchao, Wright, John, Huang, Thomas S., Ma, Yi   +3 more
openaire   +3 more sources