JPEG 2000编码参数对遥感影像压缩质量的影响
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摘要
离散小波变换和EBCOT编码是JPEG 2000标准的核心技术,调整其编码参数对图像压缩性能有重要影响。将压缩后影像与原始影像做对比,通过大量实验重点分析小波变换级数和码块大小对不同压缩倍率下重建图像质量的影响,并给出不同压缩比下编码参数的适宜取值范围。实验结果表明,影像进行中、低倍率压缩时,可以设置较低的小波变换级数(2级或3级)和较小的码块大小(如8×8或16×16)对图像进行编码;影像进行较高倍率压缩时,需要设置较高的变换级数(4级或5级)和较大的码块大小(如32×32)使图像获得较高的重建质量。相关结论为影像压缩实际参数的选择提供依据。
Discrete Wavelet Transform(DWT) and EBCOT coding are the core technology of JPEG 2000 standard.Adjusting their coding parameters has an important impact on image compression performance. In this paper,the compressed image is compared with the original remote sensing image. The influence of the different coding parameters on the quality of the reconstructed images is analyzed by a large number of experiments, and the suitable range of the coding parameters under different compression ratios is given. The experimental results show that, when the image is compressed at medium and low ratio, a lower number of wavelet transform level(2 or 3) and a smaller code-block size(8×8 or 16×16) can be used to encode the image; when the image is subjected to higher compressed ratio, it is necessary to set a higher number of wavelet transform level(4 or 5) and a bigger code-block size(32×32) to obtain a higher reconstruction quality of the image. The relevant conclusions provide a technical basis for parameters selection of the image compression practice.
Discrete Wavelet Transform(DWT) and EBCOT coding are the core technology of JPEG 2000 standard.Adjusting their coding parameters has an important impact on image compression performance. In this paper,the compressed image is compared with the original remote sensing image. The influence of the different coding parameters on the quality of the reconstructed images is analyzed by a large number of experiments, and the suitable range of the coding parameters under different compression ratios is given. The experimental results show that, when the image is compressed at medium and low ratio, a lower number of wavelet transform level(2 or 3) and a smaller code-block size(8×8 or 16×16) can be used to encode the image; when the image is subjected to higher compressed ratio, it is necessary to set a higher number of wavelet transform level(4 or 5) and a bigger code-block size(32×32) to obtain a higher reconstruction quality of the image. The relevant conclusions provide a technical basis for parameters selection of the image compression practice.
引文
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[11]尹灵芝,朱军,蔡国林,等.遥感影像质量评价方法综述[J].测绘与空间地理信息,2014,37(12):32-35.
[2]陈鑫.JPEG 2000标准研究及其与JPEG标准比较[J].信息技术,2015(4):137-140.
[3]徐伟哲,苏阳平,许旌阳,等.JPEG 2000中高性能Tier-1编码器的VLSI结构设计与实现[J].微电子学与计算机,2014(3):140-145.
[4]袁建亮,朱远平.基于JPEG 2000的感兴趣区域压缩编码算法[J].天津师范大学学报:自然科学版,2014,34(1):42-46.
[5]聂永丹,张岩,唐国维.一种基于WBCT的图像编码算法[J].计算机技术与发展,2018(1):74-77.
[6]Varma K,Bell A.JPEG 2000-Choices and Tradeoffs for Encoders[J].IEEE Signal Processing Magazine,2004,21(6):70-75.
[7]王树亮,王巧英.图像压缩与JPEG 2000[J].江苏理工学院学报,2014(4):8-11.
[8]李波,何亮.基于JPEG 2000的视频压缩技术研究[J].成都大学学报:自然科学版,2015,34(2):170-172.
[9]Pesquer L.Spatial Pattern Alterations from JPEG2000 Lossy Compression of Remote Sensing Images:Massive Variogram Analysis in High Performance Computing[J].Journal of Applied Remote Sensing,2013,7(1):073 595.
[10]沈峰,李侠,段汉根,等.Kakadu结构分析与应用程序开发[J].微计算机信息,2011,27(8):227-228.
[11]尹灵芝,朱军,蔡国林,等.遥感影像质量评价方法综述[J].测绘与空间地理信息,2014,37(12):32-35.