摘要
提出基于关联规则的图像无损恢复方法.通过分析图像质量下降的原因,找出低质量图像和高质量图像之间的关系,利用关联规则挖掘图像退化前后的关联,根据最大后验估计和先验计算,实现图像的无损恢复.在Matlab 2014平台上进行了图像无损恢复仿真实验,结果表明,该方法提高了图像无损恢复的精度,恢复速度可以满足图像处理的实时性要求.
This paper proposed lossless image restoration method based on Association rules.The reasons for degradation of image quality is analyzes to find the relationship between low quality image and high quality image,image degradation and association is mined according to the association rules,the maximum posteriori estimation and priori calculation are used for image lossless recovery,image lossless recovery simulation experiment is carried out on Matlab 2014 platform.The results show that the proposed method improves the accuracy of image restoration,and the recovery speed can meet the real-time requirement of image processing.
作者
黄耿生
HUANG Geng-sheng(Department of Electronic and Information ,Guangdong Vocational Institute of Public Administration ,Guangzhou 510800,China） Thi~ nnnor nrnnn~oA In~lo~ irnneo vo~tnratinn mothnd hn~wcl nn A~neiztinn)
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第5期672-675,共4页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
广东省高等职业技术教育研究会课题(GDGZ16Y104)
广东行政职业学院电子商务省级重点项目(201485号)
关键词
图像质量
关联规则
无损恢复
实时性
quality image
association rule
lossless recovery
real time
