摘要
基于矩阵乃"局部构成整体"的思想和并行计算的模式,将矩阵分块进行非负矩阵分解,并将其用于图像压缩。实验表明:该方法可减少存储量、计算量,计算量的减少较为显著。
Based on the idea of 'local integral whole' and the parallel computing model, the matrix is divided into non negative matrix factorization, and it is used for image compression. Experimental results show that this method can reduce the amount of storage and computation, and the computation is more significant.
出处
《科教导刊》
2016年第9X期136-137,152,共3页
The Guide Of Science & Education
基金
广东科技学院重点科研项目(GKY-2013KY ZD-2)资助
