Prediction is the basic technology of lossless image compression.
预测压缩技术是无损图象压缩的基本技术。
In this paper, a new predictive coding algorithm is presented for lossless image compression.
介绍一种实现图像无损压缩的预测编码算法。
So the algorithm is suitable for the satellite hyper-spectral image compression and also for other wireless-transfer-based lossless image compression.
因此本算法非常适合星载超光谱图像压缩，也可用于其它基于无线传输的无损图像压缩。
Experiments show that the scheme can greatly decrease the entropy of high passes and the lossless image compression bit rate, while the computational complexity increases slightly.
实验结果表明，该方法能有效降低高频子带的信息熵，降低图像的无损压缩比特率，计算复杂度上升不大。
The purpose of lossless image compression is to reduce the amount of data used to represent the image without any information loss, so the original image can be recovered correctly when decoding.
图像的无损压缩是指在编码过程中仅仅去除图像的冗余，图像信息必须保证不丢失，从而可以完整的重建原始图像。
Image compression coding includes loss compression coding and lossless compression coding.
图像压缩编码分为有损压缩编码和无损压缩编码。
This paper describes these static image compression standards and encoding processes separately and compares the lossless compression feature of the processing of clinic static images.
本文分别介绍了这三个静止图像压缩标准和编码过程，并对三种压缩标准在处理临床静止图像的无损压缩性能方面做了比较。
Recently the lossless compression skill of digital image is becoming a hot focus of research.
数字图像的无损压缩是一个新兴的研究热点。
Because the remotely sensed hyperspectral image information is very precious, the lossless compression or near have lossless compression method is needed possibly.
由于遥感图像信息十分宝贵，应尽可能采用无损压缩或近无损压缩方法。
At present, binary image compression is still in the stage of lossless encoding with low compression ratios.
目前，二值图像压缩主要采用无损压缩方式，压缩倍数低。
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。
It was concluded that lossless compression has little usefulness for NM image because of very low CR.
实验结果表明，无损压缩方法压缩比低，实用意义不大。
The result of experiments shows that the improved algorithm gets a better result in both the quality of recompose image and the compression ratio of lossless.
实验结果证明在解码率比较高的情况下，本文方案的图像重构效果较嵌入式零树算法好，无损情况下的压缩比也得到了提高。
So, the compressed picture than before reduced about 10 times, and the compressed image quality basic no change, lossless compression.
左右，压缩后的图片比之前缩小了10倍左右，而且压缩后的图片质量基本没什么变化，实现无损压缩。
So, the compressed picture than before reduced about 10 times, and the compressed image quality basic no change, lossless compression.
左右，压缩后的图片比之前缩小了10倍左右，而且压缩后的图片质量基本没什么变化，实现无损压缩。
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