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Received:June 09, 2011 Revised:July 25, 2011
Received:June 09, 2011 Revised:July 25, 2011
中文摘要: 在研究遥感图像和小波分解系数特点的基础上,提出了一种改进的SPIHT 算法：对第一阶小波变换产生的低频子带和高频子带进行小波再分解,并对再分解后的四个子带,取不同的门限值,分别进行编码;再分解后的高频子带小波系数不进行编码,在解码时直接赋予固定值重构图像。改进算法更好地处理了低频子带和高频子带的小波系数,对遥感图像的压缩实验证实了改进算法的有效性。
Abstract:After the studying of remote image and wavelet decomposing coefficients, an improved algorithm is introduced based on SPIHT: The first-order low-frequency sub-band and high frequency sub-band are decomposed again and the four further decomposed sub-bands are coded respectively with different threshold; For the decomposed high-frequency sub-band, wavelet coefficients will not be coded and they will be given a fixed value when they are decoded. The improved algorithm deals with the wavelet coefficients in different sub-bands. The compression experiment of remote-image confirms the improved algorithm is effective.
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周倩倩,李章维,苏守财.针对遥感图像压缩的改进SPIHT 算法.计算机系统应用,2012,21(3):55-58
ZHOU Qian-Qian,LI Zhang-Wei,SU Shou-Cai.Improved SPIHT Algorithm for Remote Sensing Image Zcoding.COMPUTER SYSTEMS APPLICATIONS,2012,21(3):55-58
周倩倩,李章维,苏守财.针对遥感图像压缩的改进SPIHT 算法.计算机系统应用,2012,21(3):55-58
ZHOU Qian-Qian,LI Zhang-Wei,SU Shou-Cai.Improved SPIHT Algorithm for Remote Sensing Image Zcoding.COMPUTER SYSTEMS APPLICATIONS,2012,21(3):55-58
