This paper presents a new formulation of the regularized image up-sampling problem that
incorporates models of the image acquisition and display processes. We give a new analytic …

This book focuses on the super resolution of images and video. The authors' use of the term
super resolution (SR) is used to describe the process of obtaining a high resolution (HR) …

Pan-sharpening is a common postprocessing operation for captured multispectral satellite
imagery, where the spatial resolution of images gathered in various spectral bands is …

We investigate how TV regularization naturally recognizes the scale of individual features of
an image, and we show how this perception of scale depends on the amount of …

Abstract Hyperspectral Images (HSIs) provide detailed scene insights using extensive
spectral bands, crucial for material discrimination and earth observation with substantial …

Super-resolution (SR) reconstruction usually consists of four steps: registration,
interpolation, restoration, and postprocessing. The registration precision (RP) and the initial …

Most single image super resolution (SISR) methods are developed on synthetic low
resolution (LR) and high resolution (HR) image pairs, which are simulated by a …

An algorithm for video resolution enhancement is presented. The approach borrows from
previous methods for still-image super-resolution, introducing modifications better suited for …

为了提高放大算法的适应性, 采用改进的非线性复扩散和自适应冲激滤波器,
提出了一种图像放大方法. 根据像素局部方差进行自适应改变扩散门限, 扩散图像的虚部除以 …

为了得到较好视觉质量的放大图像, 提出一种图像放大方法. 为了保证得到的放大图像完全满足
图像退化模型的约束, 在图像重建过程建立多尺度空间模型, 利用拉普拉斯金字塔变换工具对 …