Image Interpolation Algorithm Based on Wavelet Transform and HMT Model

GUO Chang

您当前的位置：

首页 >

文章列表页 >

Image Interpolation Algorithm Based on Wavelet Transform and HMT Model

更新时间：2023-12-11

- Image Interpolation Algorithm Based on Wavelet Transform and HMT Model
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 51, Issue 3, Pages: 55-59(2012)
- 作者机构：
  
  安徽大学电气工程与自动化学院,安徽,合肥,230601
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012，
  
  Published Online：25 May 2012，
扫描看全文
GUO Chang. Image Interpolation Algorithm Based on Wavelet Transform and HMT Model. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 51(3):55-59(2012)
DOI：

GUO Chang. Image Interpolation Algorithm Based on Wavelet Transform and HMT Model. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 51(3):55-59(2012) DOI：

摘要

为实现图像的超分辨率处理，提出利用HMT模型简洁地表示小波系数的概率结构。小波域HMT模型根据小波系数尺度之间的持续性和指数衰减性，将图像的小波系数建模为隐马尔可夫树模型。该模型考虑了小波系数间的统计相关性，把图像插值问题表述为一个约束优化问题，获得了能够保持原始图像丰富高频信息的高分辨率插值图像。试验结果表明，该算法在一定程度上改善了传统插值算法引起的锯齿效应和平滑效应，插值后的图像在峰值信噪比和视觉效果方面都有明显提高。

Abstract

An image super-resolution processing by using Hidden Markov Tree model to express the wavelet coefficients of the probability of structure is proposed. According to the properties of multiscale wavelet coefficients

the persistency and the exponential decay

wavelet coefficients of the image are modeled as Hidden Markov Tree model. Wavelet-domain HMT model considers the statistical properties of wavelet coefficients.The image interpolation is formulated as a constrained optimization problem. The high-resolution interpolated image which is able to maintain the original image information in the rich high-frequency is obtained. Experiment results show that the algorithm improves the traditional sawtooth effect and smoothing effect caused by interpolation. The PSNR and visual effects of interpolated image are improved obviously.

关键词

小波变换超分辨率处理插值算法HMT模型峰值信噪比

Keywords

wavelet transformsuper-resolution processinginterpolation algorithmHMT modelpeak signal to noise ratio

references

Views

396

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Algorithm Research on Image Compression Technologieswith Wavelet Transform

An Image Coding Method Based on Multiwavelet Transform

Periodical Climate Deduced from Stalagmite Oxygen Isotope in Southern China

A No-reference Blur Image Quality Assessment Algorithm Based on Wavelet High Frequency Singular Value Decomposition

The Embedded System for Power Quality Detection Based on FFT and Wavelet Theory

Related Author

LIANG Zhonghong

FAN Ling

MA Li

ZHANG DEfeng

陈冬丽

薇

柳

CAO Linglong

Related Institution

佛山科学技术学院计算机系,广东佛山 528000,

哈尔滨工业大学航天学院

School of Computer, South China Normal University



Department of Earth Sciences, Sun Yat-sen University

Postal code：510275
Tel：020-84112585，84113223 Email：xuebaozr@mail.sysu.edu.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰