Algorithm on Extracting High-Resolution Image from Low-Resolution Image Sequence

SHAO Ling; DING Pei-lu; ZHANG Li-ming; HU Bo

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Algorithm on Extracting High-Resolution Image from Low-Resolution Image Sequence

更新时间：2025-07-16

- Algorithm on Extracting High-Resolution Image from Low-Resolution Image Sequence
- Acta Electronica Sinica Vol. 30, Issue 1, Pages: 58-61(2002)
- 作者机构：
  
  1. IBM中国研究中心,北京,100085
  2. 复旦大学电子工程系智能与图像实验室,上海,200433
  3. IBM中国研究中心北京,100085
  4. 复旦大学电子工程系智能与图像实验室上海,200433
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：2002
- 稿件说明：
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SHAO Ling, DING Pei-lu, ZHANG Li-ming, et al. Algorithm on Extracting High-Resolution Image from Low-Resolution Image Sequence[J]. Acta Electronica Sinica, 2002, 30(1): 58-61.
DOI：

SHAO Ling, DING Pei-lu, ZHANG Li-ming, et al. Algorithm on Extracting High-Resolution Image from Low-Resolution Image Sequence[J]. Acta Electronica Sinica, 2002, 30(1): 58-61. DOI：

摘要

从多帧略有位移的低分辨率图像中产生一帧具有精细结构的高分辨率图像是原来基于单帧插值算法无法解决的问题.本文提出了一种基于多帧的递归迭代算法

在得到与传统多帧算法相近效果的同时

大大节省了计算所需的存储空间.论文证明了该算法的收敛性

并得出当使用循环递归迭代时

可以得到理想的结果.计算机模拟给出了与理论分析一致的结果.

Abstract

Extracting a high-resolution image form a low-resolution image sequence with displacement solves the image super-resolution problem which is ill-posed to one-frame based interpolation.However it is indispensable to store all low-resolution images for traditional multi-frame based algorithm which can not be implemented in real-time.In this paper

we propose a multi-frame based recursive iteration algorithm which can achieve super-resolution result as good as traditional method but with less memory consumption.The proof of convergence and efficiency of this algorithm is also addressed.Computer simulation gives the result matching with theoretical analysis.

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