IWT在无损编码与压缩中获得了很大成功，但在有损压缩效率上远低于传统的DWT。
IWT achieves great success in the lossless coding and compression, but its efficiency in the loss compression is far lower than the traditional DWT.
研究了基于整数到整数形状自适应离散小波变换对任意形状感兴趣区域的有损和无损编码技术。
Arbitrary shape region of interest lossily and losslessly coding technology based on integer-to-integer shape adaptive discrete wavelet transform has also been studied.
在不同编码页面中数据向二进制模式的映射帮助无损的交换国际数据。
The mapping of data into bit patterns in various code pages helps interchange global data without data loss and character corruption.
gzip压缩器基于deflate无损数据压缩算法，它使用LZ77算法和Huffman编码的组合。
The gzip compressor is based on the DEFLATE lossless data compression algorithm, which USES a combination of the LZ77 algorithm and Huffman coding.
即使CDATA区域的内容完好无损地通过您的解析器，它们仍需是有效的XML数据字符，正如文档的字符编码所规定的一样。
Even though the contents of the CDATA section pass through your parser untouched, they still need to be valid XML data characters, as specified by the document's character encoding.
提出了一种新的基于预测编码的图像无损隐秘传输方法。
A novel lossless covert communication method based on predictive coding for image is presented.
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。
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.
介绍一种实现图像无损压缩的预测编码算法。
In this paper, a new predictive coding algorithm is presented for lossless image compression.
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。
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.
实验结果表明，该方法与传统近无损压缩方法相比，不仅具有高压缩率，而且具有更好的编码传输特性。
Experiment results reveal that our method has not only high compression efficiency, but also better characteristic of coding and delivering comparing with traditional compression methods.
实验还验证了该无损压缩算法在该管道泄漏检测定位系统中具有实时编码的优点。
And the algorithm also has the advantage of real-time encoding in the system.
图像压缩编码分为有损压缩编码和无损压缩编码。
Image compression coding includes loss compression coding and lossless compression coding.
基于Huffman编码的无损压缩(losslessdatacompression)和解压缩算法。
Lossless compression based on Huffman coding (lossless data compression) and decompression algorithms.
通过对心电的压缩试验表明：（1）此算法能够有效的对心电数据进行无损压缩，得到比熵编码更好的压缩比；
Test with ECG data, we drew a conclusion following:(1) This algorithm can lossless compress ECG data and yield a high compression ratio than Huffman algorithm.
为了提高压缩率，视频编码技术中一般会采用有损和无损压缩编码相结合的方式。
In order to improve compression ratio, the combination of lossy and lossless coding method is used in video coding systems.
针对以往提供的各种方法都对一个感兴趣区域进行编码的缺点，提出了实现多个感兴趣区域的无损压缩的方法。
Concerning about the disadvantage of formerly provided each method all aimed at coding a Region of interest, a new approach was proposed to realize multiple ROIs coding.
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。
This article introduces the principle of 1bit DSD technology and the principle of DST lossless compression algorithm.
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。
A lossless compression method based on SPIHT and inter-band correlation prediction was presented for MODIS multispectral images.
在计算机信息处理中，“哈夫曼编码”是一种一致性编码法(又称“熵编码法”)，用于数据的无损耗压缩。
In the computer information processing, "Huffman coding" is a consistent coding method (also known as "entropy coding method") for lossless data compression.
对感兴趣区域(ROI)进行无损压缩编码过程中，采用整数小波变换然后进行算术编码的方案降低运算复杂度、保证图像质量。
In the process of compressing the ROI, to decrease the complexity of computation and ensure the quality of the image, integer wavelets transform and arithmetic algorithm are used.
该算法具有较高的压缩比，能够实现有损或无损压缩，能够提供分辨率可分级性，而且保持了原来的嵌入式零树编码所具有的优点。
The algorithm has high compression ratio, and can achieve the lossless and loss compression. It can provide the resolution scalability and remain the former advantages of EZW.
程序的主要功能是利用哈夫曼编码对数据进行无损压缩，实现Huffman压缩的编码器和译码器。
The main functions of the procedure is to use Huffman coding lossless compression of data to achieve Huffman compression encoder and decoder.
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。
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。
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.
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