Super-resolution image reconstruction based on MWSVR estimation Super-resolution image reconstruction has been one of the most active research areas in recent years. Based on the theory of statistical learning, Mercer c... C Hui,J Liu - World Congress on Intelligent Control & Automation 被引量:...
Accurate Image Super-Resolution Using Very Deep Convolutional Networks笔记 摘要: (1)网络结构深:a significant improvement in accuracy 通过级联多层小的卷积核,上下文信息被高效利用 (2)深层网络存在的问题是收敛速度 采用学习残差和高的学习率 1.介绍 srcnn相对于传统学习方法,不需... ...
Dai D, Wang Y, Chen Y, et al (2015) Is image super-resolution helpful for other vision tasks?https://doi.org/10.1109/wacv.2016.7477613. Guo H, Lu T, Wu Y (2021) Dynamic low-light image enhancement for object detection via end-to-end training. In: 2020 25th International Conference o...
However, due to the insufficient spatial sampling of the image detector and the trade-off between pixel size and photosensitivity, the ability of current imaging sensors to obtain high spatial resolution is limited, especially under low-light-level (LLL) imaging conditions. To solve these problems,...
Structured illumination microscopy (SIM) is a widely used super-resolution technique that has had substantial impact because of its ability to double resolution beyond the light diffraction limit while using wide field illumination and maintaining compatibility with a wide range of fluorophores. SIM appli...
Layer attention 的思路最早应该是在 【ECCV2020】Single Image Super-Resolution via a Holistic Attention Network 这个论文里出现(在任文琦老师报告里听到的) 实验部分可以参考作者论文,这里不再过多介绍。编辑于 2023-01-31 00:40・IP 属地山东 内容所属专栏 OUC的搬砖日常 读Paper记笔记,我们是认真的,不止是...
《AudioSR: Versatile Audio Super-resolution at Scale》(2023) GitHub: github.com/haoheliu/versatile_audio_super_resolution《Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics》(2023) GitHub: github.com/UCSC-VLAA/Sight-Beyond-Text [fig4]...
Transformer-based methods have made important progress in low-level vision tasks such as image super-resolution23,24, image denoising25, and image dehazing26. Currently, related Transformer methods27,28 have also been applied to low-light image enhancement and have achieved good ...
Blau, Y., Mechrez, R., Timofte, R., Michaeli, T., Zelnik-Manor, L.: The 2018 PIRM challenge on perceptual image super-resolution. In: ECCV (2018) Google Scholar Bovik, A.C.: Handbook of Image and Video Processing. Academic Press, Cambridge (2010) ...
论文阅读笔记--Joint High Dynamic Range Imaging and Super-Resolution from a Single Image Retinex-based的图像分解 ,只有映射分量由CNN实现,而其他分量(illumination)以常规方式处理。在训练CNN时,我们设计了适当的损失函数,以提高所得图像的自然质量。实验表明,我们的算法优于基于CNN的SR和HDRI的级联实现. 但是,对...