This paper proposes an error correction method used for JPEG compressed image data, which is transmitted in noisy channel.
提出了一种采用JPEG标准压缩的静止图像数据在非理想信道中传输的纠错方法。
These fields give libtiff information about the size and shape of the image, as well as the way data will be compressed within the image.
这些字段为libtiff提供有关图像大小和形状的信息，以及在图像内压缩数据的方法。
The image data of the photo set was compressed with IBR compression algorithms such as the block coder, the reference coder and multidimensional wavelet transform.
再用块编码、参考编码和高维变换(小波)编码等三类I BR压缩系统对照片集图像数据进行压缩。
However, each pixel of hyperspectral image has tens or hundreds of magnitude values corresponding its wave bands, so the enormous data must be compressed.
但是高光谱图像的每个像元都对应几十到几百个波段的灰度值，数据量极其庞大，因此必须对其进行压缩。
After image was decomposed, the corresponding data were compressed and coded. It could reduce the time and space redundancy.
图像分形后，对相邻帧间对应的数据求差并进行压缩编码，减少时间与空间冗余度。
Thereby, periodic images, especially image data in which background patterns such as wallpaper are arranged, can be compressed and decoded at higher speed and higher compressibility.
能够在对具有周期性的图像、特别是墙纸等排列有背景图案的图像数据进行编码时，就能够更高速地，且以更高压缩率来压缩整个图像。
Image sparse representation data got by sparse decomposition method are compressed by quantization and coding.
在图像稀疏分解的基础上，对分解出的数据进行压缩。
The compressed encoding of image data is one of the most important ring - joint of digital photogrammetric surveying field.
图像数据压缩编码是数字摄影测量领域的关键环节之一。
In this thesis the medical ECG data and medical MRI image data were compressed with corresponding lossless compression arithmetic.
本文通过对医学心电数据和医学MRI图像数据的分析，采用相应的无损压缩算法对其进行压缩。
In this thesis the medical ECG data and medical MRI image data were compressed with corresponding lossless compression arithmetic.
本文通过对医学心电数据和医学MRI图像数据的分析，采用相应的无损压缩算法对其进行压缩。
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