计算机技术与发展2017，Vol.27Issue(3)：159-162,4.DOI:10.3969/j.issn.1673-629X.2017.03.033
基于双交叉和特征的快速分形图像编码研究
Investigation on Fast Fractal Image Encoding with Sum of Double Cross Eigenvalues
摘要
Abstract
For the shortcomings of high computational complexity and long encoding time of the traditional fractal coding,an encoding al-gorithm based on the sum of double cross eigenvalues is proposed in order to solve the problem of long encoding time. The problem, R search for the best matching block of MSE sense in the D set,is converted into another one,the eigenvector of R search for the best matc-hing block of D in the eigenvector space. Thus,global search is transformed into neighbor search by constructing suitable feature vector for the image block in the opposite sense and matching search is carried out only in the field of the initial matching block,which reduces search objects and then speeds up encoding. Through comparative simulation experiment,a variety of algorithms are compared and simu-lated by using image segmentation. The results of experiments show that the algorithm presented has improved the feature similarity and reduces the image encoding time more effectively under the premise of ensuring quality of the reconstructed image,and that the purpose of improving the encoding speed procedure has been achieved.关键词
分形/分形图像编码/特征向量法/双交叉和特征Key words
fractal/fractal image coding/eigenvector method/sum of double cross eigenvalues分类
信息技术与安全科学引用本文复制引用
张璟,张爱华,汪玮玮,唐婷婷..基于双交叉和特征的快速分形图像编码研究[J].计算机技术与发展,2017,27(3):159-162,4.基金项目
国家自然科学基金面上项目(11471114,61372125) （11471114,61372125）
