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Chapter and Conference Paper
Correction to: Single Image Super-Resolution via a Holistic Attention Network
In the originally published version of chapter 12, the first affiliation stated a wrong city and country. This has been corrected.
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Chapter and Conference Paper
Single Image Super-Resolution via a Holistic Attention Network
Informative features play a crucial role in the single image super-resolution task. Channel attention has been demonstrated to be effective for preserving information-rich features in each layer. However, chan...
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Chapter and Conference Paper
A Deconvolution Methods Based on Retinex Prior
High-quality image deconvolution is required for many image processing applications. Our work concentrates on portraying a new image deconvolution method based on Retinex prior knowledge. We build a new image ...