𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A fast super-resolution reconstruction from image sequence

✍ Scribed by Shi Wenzhong; Tian Yan; Liu Jian

Publisher
Wuhan University
Year
2006
Tongue
English
Weight
698 KB
Volume
11
Category
Article
ISSN
1007-1202

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Subpixel Motion Estimation for Super-Res
Subpixel Motion Estimation for Super-Resolution Image Sequence Enhancement
✍ Richard R. Schultz; Li Meng; Robert L. Stevenson 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 769 KB

## Super-resolution enhancement algorithms are used to esti-1. INTRODUCTION mate a high-resolution video still (HRVS) from several lowresolution frames, provided that objects within the digital image Super-resolution enhancement techniques may be used sequence move with subpixel increments. A Baye

Projection-reconstruction methods: Fast
Projection-reconstruction methods: Fast imaging sequences and data processing
✍ Yannick Crémillieux; Professor André Briguet; André Deguin 📂 Article 📅 1994 🏛 John Wiley and Sons 🌐 English ⚖ 711 KB

## Abstract New, rapid two‐ and three‐dimensional imaging sequences based on steady‐state gradient echoes and projection‐reconstruction (PR) techniques are proposed. Quantitative studies show that fast PR sequences and classical, fast gradient‐echo Fourier transform sequences lead to identical cont

Pyramid-based super-resolution of the un
Pyramid-based super-resolution of the undersampled and subpixel shifted image sequence
✍ Yao Lu; Minoru Imamura 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 449 KB

## Abstract The existing methods for the reconstruction of a super‐resolution image from the undersampled and subpixel shifted image sequence have to solve a large ill‐condition equation group by approximately finding the inverse matrix or performing many iterations to approach the solution. The fo

Super-resolution of the undersampled and
Super-resolution of the undersampled and subpixel shifted image sequence by a neural network
✍ Yao Lu; Minoru Inamura; Maria del Carmen Valdes 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 245 KB

## Abstract Numerous approaches to super‐resolution (SR) of sequentially observed images (image sequence) of low resolution (LR) have been presented in the past two decades. However, neural network methods are almost ignored for solving SR problems. This is because the SR problem traditionally has