Visual lossless compression is loss compression in the store of information, but human vision cant feel the loss of information, so it cant affect the medical diagnosis.
视觉无损压缩在信息存储上实际是有损压缩，但人类视觉系统并不能察觉出这种图像信息量的损失，因而不影响临床诊断。
In the field of lossless compression, these results can be valuable and commendable.
在无失真压缩的前提下能有如此优异的压缩效能及执行速度更显得可贵。
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。
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。
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。
Although some different methods are adopted, lossless compression can be achieved upon these standards.
这三个标准虽采用的方法不同，但均能实现无损压缩。
The research background of near-lossless compression and 3 types of method are introduced in this paper.
介绍了准无损压缩的研究背景和3类准无损压缩方法。
An approach for lossless compression of still images based on fuzzy-combined adaptive prediction was proposed.
提出了一种基于自适应模糊混合预测的静态图像无损压缩方法。
This article introduces the principle of 1bit DSD technology and the principle of DST lossless compression algorithm.
本文详细介绍了1比特dsd编码技术的原理，和DST无损压缩方法的原理。
The basic knowledge and application features about computer forensics and LZW lossless compression algorithm are introduced.
介绍了计算机取证和LZW无损压缩算法的基本概念和应用特点。
A lossless compression method based on SPIHT and inter-band correlation prediction was presented for MODIS multispectral images.
提出一种结合波段相关性判定和SPIHT编码的方法对MODIS多光谱图像进行无损压缩。
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。
In this paper we propose a new GM (1, 1) model, which can implement the predictive error coding in a lossless compression of gray scale images.
本文提出了一种新的GM(1,1)模型，可以在灰度图像无损压缩中实现预测误差编码。
Through lossless compression of geometric data in the network transmission, an efficient method which alleviates the network burden is proposed.
通过对网络传输中的几何数据进行无损压缩，提出了一种能有效缓解网络负荷的方法。
A large number of experimental tests and analyses on real datasets show that the proposed lossless compression technique can achieve good compression ratio.
通过大量实际数据集的实验测试与分析，表明提出的无损压缩技术对于相似序列数据具有很好的压缩比。
In this paper, a lossless compression method, based on adaptive prediction, is presented. This method USES neural network model to modify the prediction weight.
本文提出一种基于自适应预测的无损压缩方法，该方法利用神经网络模型自学习的能力，自适应的调整预测器的预测系数。
Absrtact: To solve the problem of seismic data lossless compression effectively, many seismic data standards, lossless integer and float-point encoding are studied.
摘要：为解决地震数据的无损压缩存储问题，研究了多种地震数据标准以及整型和浮点型数据的无损压缩算法。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
首先探讨了基于提升方案的整数小波变换，结合线性预测技术，提出了一种机载多光谱遥感图像的无损压缩方法。
The aim and application of diagnostically lossless compression and the data compression method for magnetic flux leakage (MFL) inspection of pipelines were introduced.
介绍检测无损压缩的目的、应用以及针对管道漏磁检测数据的一种检测无损压缩方法。
With the aid of lossless compression technique of JPEG2000 and SQL Server2000 database, this system is intelligent, stable and effective in storage and management of medical images.
采用多级分布式存储体系，引入JPEG2000压缩技术，结合大型数据库，实现智能、稳定和高效的存储管理。
Lossless compression based on Huffman coding (lossless data compression) and decompression algorithms.
基于Huffman编码的无损压缩(losslessdatacompression)和解压缩算法。
Lossless compression is fine, but reformatting and storing received data for a small percentage gain in space in a large database will cause more issues than it's worth.
无损的压缩虽好，但是为了在大型数据库中节省少量的空间而重新格式化和存储接收的数据，会导致更多问题，实属不值。
Lossless compression bounds of images naturally acquired by various imaging sensors are estimated using a practical method based on multi scale conditional entropy and memory measurement.
为估计利用各类成像传感器自然获取图像的无损压缩极限，提出一个利用多尺度条件熵和记忆性度量的实用方法。
Lossless compression bounds of images naturally acquired by various imaging sensors are estimated using a practical method based on multi scale conditional entropy and memory measurement.
为估计利用各类成像传感器自然获取图像的无损压缩极限，提出一个利用多尺度条件熵和记忆性度量的实用方法。
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