High compression rate, based on the RLS adaptive algorithm in progressive image transmission

被引:1
作者
Abdollahi, Nooshin [1 ,2 ]
Shahtalebi, Kamal [1 ]
Sabahi, Mohamad Farzan [1 ]
机构
[1] Univ Isfahan, Fac Engn, Dept Elect Engn, Esfahan, Iran
[2] Univ Toronto, Inst Biomed Engn, Toronto, ON, Canada
关键词
Progressive image transmission; RLS algorithm; Linear regression; REAL-TIME;
D O I
10.1007/s11760-020-01804-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The purpose of this paper is to develop a novel method based on recursive least squares (RLS) adaptive algorithm for progressive image transmission (PIT). The image is divided into non-overlapping blocks. Having an agreed vector sequence between the transmitter and the receiver, each block is related to a regressive model. Meanwhile, at the transmitter the blocks are estimated using the RLS algorithm. The high correlation between error vectors, regarding to the RLS execution, causes a very high compression rate in their transmission. The error vectors at the receiver are used to run the RLS algorithm and to estimate the image in a same manner. The method is easy to implement with a low computational complexity and achieves high quality, compared to other well-known methods. In comparison with its counterparts, simulation results show how efficient the proposed method is.
引用
收藏
页码:835 / 842
页数:8
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