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作 者:王玲 李兵 罗玉 WANG Ling;LI Bing;LUO Yu(School of Computer and Software Engineering,Xihua University,Chengdu 610039)
机构地区:[1]西华大学计算机与软件工程学院,成都610039
出 处:《计算机与数字工程》2020年第7期1766-1771,共6页Computer & Digital Engineering
摘 要:医学数字成像具有分辨率高、数据量大等特点,对医学图像的压缩处理是解决医院图像存储和传输系统的有效方案。SPIHT压缩算法作为一种高效的图像压缩方式,但其零树结构的多层编码使信号的压缩比有所局限。因此论文首先对图像数据用5/3整数提升小波进行三层变换,利用现场可编程门阵列(FPGA)技术对算法进行并行设计,提高了处理速度;然后通过研究SPIHT压缩算法并提出优化与改进,对小波分解后的高频子带进行阈值优化,对低频和高频子带进行不同深度的精炼次数,在保证医学图像质量的同时去除图像的冗余信息,从而达到提高压缩效率的目的。实验表明通过提升小波变换的设计以及改进的编码压缩算法,可在确保图像质量的条件下实现医学图像高效压缩,相比JPEG2000中的编码方法,此系统方案更易于硬件实现。Medical digital imaging has the characteristics of high resolution and large amount of data.Compression of medical images is an effective solution to image storage and transmission system in the hospital.SPIHT compression algorithm is an efficient image compression method,but its multilevel coding of zero-tree structure makes the compression ratio of signal limited.Therefore,the image data is firstly transformed into three layers by 5/3 integer lifting wavelet transform,meanwhile,the field programmable gate array(FPGA)technology is utilized for parallel design of the algorithm to improve the processing speed.Then,by studying the SPIHT compression algorithm and proposing optimization and improvement,the high-frequency sub-band after wavelet decomposition is optimized,and the low-frequency and high-frequency sub-bands are refined with different depths.While ensuring the quality of medical images,the redundant information of the image is removed,so as to achieve the purpose of improving compression efficiency.Experiments show that the design of lifting wavelet transform and the improved coding compression algorithm could achieve high-efficiency medical image compression under the condition of ensuring image quality.Compared with the coding method in JPEG2000,this system scheme is easier to implement in hardware.
关 键 词:5/3整数提升小波变换 SPIHT压缩 医学图像 FPGA
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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