Journal of South China University of Technology(Natural Science) >

2015 , Vol. 43 >Issue 3: 57 - 65

DOI: https://doi.org/10.3969/j.issn.1000-565X.2015.03.009

Electronics, Communication & Automation Technology

Improved SCSR Algorithm on the Basis of Flexible LBP Texture Dictionary and Multi-Feature Description

Expand
  • School of Electronic and Information Engineering∥National Engineering Techonology Ｒesearch Center for Mobile Ultrasonic Detection，South China University of Technology，Guangzhou 510640，Guangdong，China
马丽红(1965-)，女，博士，教授，主要从事图像视频信号处理、容错编码和数据隐藏、模式识别研究．

Received date: 2014-08-21

  Revised date: 2014-12-08

  Online published: 2015-02-10

Supported by

Supported by the National Natural Science Foundation of China(NSFC)(61471173)

Fold

Abstract

A multi-feature joint dictionary (MFJD) is suggested to improve the structural distinction in dictionary training and to accelerate the atom matching in sparse reconstruction． Firstly，two dictionaries branched respectively for edge-and texture-descriptions are created using gradient and LBP operators． Secondly，tree structures are intro-duced to represent the hierarchical clustering of atoms，which leads to a quick atom searching． Then，bilateral total variation (BTV) regularization is employed to achieve the optimal resolution． Experimental results show that，in comparison with the sparse coding super-resolution reconstruction (SCSＲ) algorithm，MFJD averagely improves the PSNR，MSSIM and FSIM of an image by 0． 2424dB，0． 0043 and 0． 0056，respectively，and reduces the recon-struction time to approximately 22．77% of that of SCSＲ algorithm owing to the reduction of dictionary dimensionality．

Key words： super-resolution reconstruction; structure classification; multi-feature description; LBP texture; bilateral total variation

Cite this article

Ma Li-hong Huang Yin Li Jian-hui . Improved SCSR Algorithm on the Basis of Flexible LBP Texture Dictionary and Multi-Feature Description[J]. Journal of South China University of Technology(Natural Science), 2015 , 43(3) : 57 -65 . DOI: 10.3969/j.issn.1000-565X.2015.03.009

Options
Outlines

/

〈 〉