Fast Dynamic Super-Resolution Algorithm Based on Edge Direct

TANG Xiao-li; HAN Rui; GUO Ruo-shan

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Fast Dynamic Super-Resolution Algorithm Based on Edge Direct

更新时间：2026-09-04

- Fast Dynamic Super-Resolution Algorithm Based on Edge Direct
- Vol. 33, Issue 10, Pages: 167-172(2016)
- 作者机构：
  
  1. 中国科学技术大学信息科学技术学院,安徽,合肥,230022
  2. 中国科学院机构自动化研究所国家专用集成电路设计工程技术研究中心,北京,100190
- 作者简介：
- 基金信息：
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- Published：2016
- 稿件说明：
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汤晓莉, 韩睿, 郭若杉. 基于边缘指导的快速动态超分辨率算法[J]. 微电子学与计算机, 2016, 33(10): 167-172.

TANG Xiao-li, HAN Rui, GUO Ruo-shan. Fast Dynamic Super-Resolution Algorithm Based on Edge Direct[J]. 2016, 33(10): 167-172.
汤晓莉, 韩睿, 郭若杉. 基于边缘指导的快速动态超分辨率算法[J]. 微电子学与计算机, 2016, 33(10): 167-172. DOI：

TANG Xiao-li, HAN Rui, GUO Ruo-shan. Fast Dynamic Super-Resolution Algorithm Based on Edge Direct[J]. 2016, 33(10): 167-172. DOI：

摘要

引入一种适用于标清到高清或超高清视频的快速超分辨率算法.首先

基于图像的退化模型

对动态超分辨率算法的计算过程进行优化

降低算法的复杂度并加快算法的收敛速度; 然后

利用前一帧的高分辨率图像信息和空域上的边缘指导插值信息

改善边缘的锯齿问题和收敛性; 最后

利用基于最大后验概率去模糊的方法

进一步提高图像质量.实验结果表明

该算法较传统方法峰值信噪比有明显提高

运行时间大大减少.

Abstract

A fast super-resolution (SR) algorithm is introduced in this paper which is suitable for SD to HD or UHD. Firstly

the calculation process of dynamic super-resolution (DSR) is optimized based on i-mage degradation model to re-duce the complexity and accelerate the convergence of algorithm. Then

the information of previous high-resolution frame and spatial Edge Direct Interpolation (EDI) is exploited to bate zigzag effect which appears in edge regions and accelerate convergence. Finally

the deblurring of image based on Maxim um a Posteriori (MAP) is exploited to further improve the quality of image.A-fter the test

the results show that compared with traditional methods

the PSNR is improved obviously and the running time is reduced greatly with the algorithm of this paper.

关键词

Keywords

references

Baker S, Kanade T. Limits on super-resolution and how to break them[J]. PAMI, 2002, 24(9): 1167-1183. DOI: 1167

Schultz R, Stevenson R. Extraction of high-resolution frames from video sequences[J]. IEEE Transactions on Image Processing, 1996, 5(6): 996-1011. DOI: 996

Farsiu S, Elad M, Milanfar P. Video-to-Video dynamic super-resolution for grayscale and color sequences[J]. EURASIP Journal on Applied Signal Processing, 2006, 2006(1): 1-15. DOI: 1

Irani M, Peleg S. Improving resolution by image registration[J]. Cvgip Graphical Models % Image Processing, 1991, 53(3): 231-239. DOI: 231

Elad M, Feuer A. Super-resolution restoration of an image sequence: adaptive filtering approach on Image Processing[J]. IEEE Transactions, 1999, 8(3): 387-395. DOI: 387

Simonyan K, Grishin S, Vatolin D. Fast video super- resolution via classification[C]//Proc IEEE International Conference on Image Processing(ICIP). California, USA: IEEE Press, 2008: 349-352.

Elad M, Feuer A. Super-resolution restoration of image sequence[J]. IEEE Transactions, 1999, 21(9): 817-834. DOI: 817

Freedman G, Fattal R. Image and video upscaling fromlocal self-examples[J]. ACM Transactions on Graphics, 2011, 30(2): 474-484. DOI: 474

Wang L F, Xiang S M, Meng G F, et al. Edge-directed single-image super-resolution via adaptive gradient magnitude self-interpolation[J]. IEEE Trans on Image Processing, 2013, 23(8): 1289-1299. DOI: 1289

Farsiu S, Robinson D, Elad M, et al. Fast and robust mutiframe super resolution[J]. IEEE Transactions on Image Processing, 2004, 13(10): 1327-1344. DOI: 1327

华书娜, 王培康, 朱高, 等. 基于聚类和高斯过程回归的超分辨率重建[J]. 微电子学与计算机, 2012, 29(10): 26-29. DOI: 26

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