A New MAP Based Texture Adaptive Super-Resolution Image Reconstruction Algorithm

SONG Rui; WU Cheng-ke; FENG Ying; ZHANG Yun-feng

您当前的位置：

首页 >

文章列表页 >

A New MAP Based Texture Adaptive Super-Resolution Image Reconstruction Algorithm

更新时间：2025-07-16

- A New MAP Based Texture Adaptive Super-Resolution Image Reconstruction Algorithm
- Acta Electronica Sinica Vol. 37, Issue 5, Pages: 1124-1129(2009)
- 作者机构：
  
  西安电子科技大学综合业务数字网国家重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2009
- 稿件说明：
移动端阅览
SONG Rui, WU Cheng-ke, FENG Ying, et al. A New MAP Based Texture Adaptive Super-Resolution Image Reconstruction Algorithm[J]. Acta Electronica Sinica, 2009, 37(5): 1124-1129.
DOI：

SONG Rui, WU Cheng-ke, FENG Ying, et al. A New MAP Based Texture Adaptive Super-Resolution Image Reconstruction Algorithm[J]. Acta Electronica Sinica, 2009, 37(5): 1124-1129. DOI：

摘要

本文论证了超分辨率图像复原计算中的两个性质

并基于此在MAP(Maximum A Posteriori)框架下提出了一种新的纹理自适应算法.算法首先根据低分辨率图像和高分辨率图像近似计算的可类比性质计算初始图像

使初始图像的质量更高

并根据超分辨率复原图像阶跃边缘的陡坡性质

将三边滤波正则化应用于迭代运算中

更好地保护了图像的陡坡和屋顶边缘.算法可根据图像的纹理自动计算初始图像融合参数以及正则化函数中的梯度阈值等参数

解决了以往超分辨率图像复原算法参数调整复杂的问题.实验结果表明

本文算法在没有人工参与的情况下

重建图像的客观评价和主观质量均有明显提高.

Abstract

Two properties of Super-Resolution calculation for image super-resolution reconstruction are proved

and a new texture adaptive super-resolution algorithm is proposed based on MAP(Maximum a posteriori)model.In Super-Resolution reconstruction process

an initial high resolution image with higher quality is calculated firstly by approximate calculation

and then trilateral model is applied as a regularization term in MAP model to preserve slope edge and roof edge.The fusion parameter and regularization parameter can be adaptively computed by image texture without manual adjustment.Simulation results confirm the effectiveness of this algorithm and demonstrate its superiority to other super-resolution algorithms.

关键词

Keywords

references

Views

1425

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Scene Text Image Super-Resolution Reconstruction Based on Perceiving Multi-Domain Character Distance

Research on Super-Resolution Reconstruction Algorithm of Cultural Relic Images

Image Super-Resolution Reconstruction Based on Lightweight Multi-Scale Channel Attention Network

Multimorphology Sparsity Regularized Image Super-Resolution

Multi-Frame Super-Resolution Reconstruction Based on Anisotropic Markov Random Field Modeling

Related Author

CHEN Ping-ping

WANG Jia-bao

CHEN Hong-hui

HUANG Jun-yang

LIN Zhi-jian

TIAN Ming

GE Yi-fan

LIU Jie

Related Institution

College of Physics and Information Engineering， Fuzhou University

Heilongjiang Branch of China Telecom

College of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology

School of Control and Computer Engineering， North China Electric Power University

Scientific Research Department of Military Training 60th Research Institute of General Staff DepartmentChinese People's Liberation ArmyNanjingJiangsu 210016China

⁰