《Practical Single-Image Super-Resolution Using Look-Up Table》论文阅读分享 负罪山下 记录科研学习。3 人赞同了该文章 基于使用的单图像分辨率 首次使用查表法(look-up table) 长期更新科研论文,最近是超分辨率 目前sota等一些超分辨率算法虽然效果很好,但是他们对硬件的要求很高,运行速度很慢,很难在手机等设备...
论文:Practical Single-Image Super-Resolution Using Look-Up Table, CVPR 2021 代码:GitHub - yhjo09/SR-LUT 1. 背景 随着移动设备和显示硬件的发展,对实用SR技术的需求也越来越大。目前在峰值信噪比(PSNR)方面,基于dnn的方法实现了最先进的SR性能。 当前方法的问题: 基于DNN的方法在没有特殊硬件的情况下很难...
MSE的量纲是像素差值的平方,因此MAXI同样使用平方配合量纲。**SSIM (Structural SIMilarity) 结构相似性:** SSIM公式基于样本x和y之间的三个比较衡量:亮度 (luminance)、对比度 (contrast) 和结构 (structure)。![...
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Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Kai Zhang, Jingyun Liang,Luc Van Gool,Radu Timofte Computer Vision Lab, ETH Zurich, Switzerland [Paper] [Code] [Training Code] Our new work for real image denoising --->https://github.com/cszn/SCUNet ...
Super-resolution image restoration algorithms based on orthogonal discrete wavelet transform Several new super-resolution image restoration algorithms based on orthogonal discrete wavelet transform are proposed, by using orthogonal discrete wavelet... YY Liu,WQ Jin - Proceedings of SPIE - The International...
super-resolution pipeline. Gemino upsamples a very low-resolution version of each target frame while enhancing high-frequency details (e.g., skin texture, hair, etc.) based on information extracted from a single high-resolution reference image. We use a multi-scale archite...
Superresolution depends on near-field capture and transfer of high spatial frequencies from the scattering object. These evanescent waves are transferred to a near-field image domain using a negative index material. Measuring images with subwavelength scale resolution in the near field by scanning is ...
In the future, under current sub-resolution technologies, the spatial transcriptomics technology for the single biological cells should be more essential to develop. (4) The cellular deconvolution of spatial transcriptomics will not only help biologists study the structure of tissues but also become ...
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte Computer Vision Lab, ETH Zurich, Switzerland [Paper] [Code] [Training Code] Our work is the beginning rather than the end of real image super-resolution. News (...