A technique for generating high-resolution bitmaps from low-resolution bitmaps. A low-resolution bitmap is magnified to form a magnified image. Edge detection is performed on the magnified image to find high contrast edges. A plurality of image patches of the magnified image are generated. These...
很多人买了10bit的显示器却不知道开启,还是用的默认的8bit,这里说下开启方法,其实很简单,如下图打标顺序开启就行了。 开启的好处我就不多说了,买了10bit显示器的人应该都知道。 补充说明: 2023/09/03 在浏览器中打开超分辨率后,经过一段时间的实际使用,感觉受不了被机箱烘烤(我的机箱就在我旁边),然后我开...
由于当前该领域中的现有指标，如 LPIPS（Learned Perceptual Image Patch Similarity, 学习感知图像块相似度...
Edge-Informed Single Image Super-Resolution 技术标签:cv 这篇文章提出了一种将图像结构信息和纹理信息分开处理的单图像超分辨率方法,通过这种方法将单图像超分辨率转换为图像修复。 该文章首先分析了传统的双三次插值的弊端: 原标准的HR图像是有边缘信息的高清图像,2倍下采样时四个像素合成一个像素点使下采样后的...
1. 打开 Edge 浏览器，进入设置菜单。2. 寻找“系统”或“高级设置”选项。3. 检查或启用“启用超分辨率”或类似功能。操作完成后，视频播放时将自动应用超分辨率技术，提升画质。第二步，好处与注意事项：1. 提升视频清晰度：超分辨率技术能改善视频质量，尤其是低分辨率内容。2. 需要硬件支持：并非...
微软Edge 还有另一个基于人工智能的功能,叫做视频超分辨率(Video Super Resolution),可以让低分辨率的视频更加清晰和细腻,不过该功能使用的是本地设备上的独立显卡进行处理,而不是把内容发送给微软。
Edge preserving single image super-resolution with improved visual quality Super-resolution is a widely used technique to increase the resolution of an image by algorithmic methods. Super-resolution from a single image is required... S Vishnukumar,MS Nair,M Wilscy - 《Signal Processing》 被引量...
The current superresolution (SR) methods based on deep learning have shown remarkable comparative advantages but remain unsatisfactory in recovering the high-frequency edge details of the images in noise-contaminated imaging conditions, e.g., remote sensing satellite imaging. In this paper, we propose...
Image Super-Resolution, Edge-Preserving 1. INTRODUCTION The goal of single image super-resolution is to recover a high-resolution image from a low-resolution image. Image super-resolution is important in many applications of multi- media such as playing a video on a higher-resolution screen. ...
Sparse representation has recently attracted enormous interests in the field of image super-resolution. The sparsity-based methods usually train a pair of global dictionaries. However, only a pair of global dictionaries cannot best sparsely represent different kinds of image patches, as it neglects tw...