Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

Within today's day and age, amongst women who fall under the bracket of being of
reproductive age, when discussion about Gynecologic tumors comes forward, Uterine …

Low-quality medical ultrasound images have serious spots, noise, and weak borders
between similar tissues, which affect the accuracy of segmentation of human organs and …

摘要由于传统的超分辨率重构无法在工程应用中对含有局部运动图像进行有效的运动估计及重
构, 本文提出一种采用非局部均值(NLM) 的超分辨率重构方案. 简要介绍了具有较好去噪特性的 …

In this paper, an effort is made to enlarge a low resolution image. This paper presents an
effective novel single image super resolution approach to recover a high resolution image …

Super-resolution is the process of obtaining a high-resolution (HR) image from one or more
low-resolution (LR) images. Single image super-resolution (SISR) deals with one LR image …

The Iterative back-projection (IBP) is a classical super-resolution method with low
computational complexity that can be applied in real time applications. This paper presents …

This paper introduces a novel deep-learning-based photometric stereo method that uses
superresolution (SR) images: SR photometric stereo. Recent deep-learning-based SR …

To date, live-cell imaging at the nanometer scale remains challenging. Even though super-
resolution microscopy methods have enabled visualization of sub-cellular structures below …

This paper formulates the image super resolution problem as various denoising problems. In
particular, the discrete cosine transform zero padding approach is used to generate an initial …