[1]邵欣,席志红,张越.一种图像渐进传输的快速编码算法[J].应用科技,2011,38(10):50-53.[doi:10.3969/j.issn.1009-671X.2011.10.011]
 SHAO Xin,XI Zhihong,ZHANG Yue.A fast coding algorithm for image progressive transmission[J].Applied science and technology,2011,38(10):50-53.[doi:10.3969/j.issn.1009-671X.2011.10.011]
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一种图像渐进传输的快速编码算法(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第38卷
期数:
2011年10期
页码:
50-53
栏目:
现代电子技术
出版日期:
2011-10-05

文章信息/Info

Title:
A fast coding algorithm for image progressive transmission
文章编号:
1009-671X(2011)10-0050-04
作者:
邵欣 席志红 张越
(哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001)
Author(s):
SHAO Xin XI Zhihong ZHANG Yue
(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
关键词:
图像处理渐进传输嵌入式编码SPECK
Keywords:
image process progressive transmission embedded coding SPECK
分类号:
TN919.81
DOI:
10.3969/j.issn.1009-671X.2011.10.011
文献标志码:
A
摘要:
针对数字图像渐进传输过程中集合分裂嵌入块(SPECK)编码算法需要动态分配存储资源,占用存储资源多,完成小波系数编码与解码的耗时长等问题,提出了一种无系数表的SPECK编码改进算法.该算法无需动态建立传统SPECK算法中的重要系数列表与非重要系数列表,利用图像小波系数与阈值的比较和细化过程完成图像的编码.仿真结果表明,所提出的SPECK编码算法可在牺牲一定峰值信噪比的条件下减小SPECK算法的编码复杂度,显著减少SPECK算法编码与解码算法的执行时间.
Abstract:
In order to avoid the requirements of large storage resources and timeconsuming problem during the coding and decoding of the wavelet coefficients in conventional set partitioning embedded block (SPECK) coding algorithm, an improved listless SPECK coding algorithm is proposed in this paper. This algorithm can implement the image coding through the comparison and refinement of wavelet coefficients and the corresponding threshold, without establishment of the dynamic list of significant pixels and list of insignificant sets, which is necessary in conventional SPECK coding algorithm. Simulation results show that the proposed SPECK coding algorithm can reduce the coding complexity with certain sacrifice of peak to average signal to noise ratio, and it can significantly reduce the consumed time to accomplish the coding and decoding of SPECK algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:邵欣(1984-),男,硕士研究生,主要研究方向:图像传输、图像编码,E-mail:shaoxinheu@163.com.
更新日期/Last Update: 2011-12-25