查询词典 compression coupling

Comparing with lossy image compression, the lossless image compression is more difficult and its development is slower.

图像的无损压缩相对有损压缩来说更加困难，取得的进展也更小。

The algorithm of SAR image's lossless compression and low loss compression is discussed.

对SAR图像的统计特性进行了研究，据此对SAR图像的无失真压缩、低失真压缩进行了理论研究。

The methods of image compression could be summed up as the lossy and loseless compression.

图像压缩的方法很多，但一般可分为有损压缩和无损压缩两大类。

Comparing with lossy image compression, the lossless image compression is more difficult and itsdevelopment is slower.

图像的无损压缩相对有损压缩来说更加困难，取得的进展也更小。

Lossy compression on the other hand allows some loss, but has the potential for much higher compression rates.

损失性图像压缩则允许某些图像信息丢失，但在压缩比上有着更大的潜力。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点：1一般情况下，一种图像压缩的方法对不同特点的图像，压缩效果会有所不同，本文利用分形压缩编码对不同特点的图像进行编码，分析了分形编码对不同图像的编码适用性，利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合，得到了一种可以调节压缩比与解码质量的分形编码方案，该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性，即对于一组分形编码可以将其解码到任意分辨率下，本文利用分形编码的这一特点，结合不同的量化编码方案，选择合适的定义域块与值域块及适当的编解码分辨率，得到了一种提高解码质量，编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量，目前有两种计算比例因子的方法，文中给出了一种新的求比例因子的方法，该方法简化了求比例因子的计算，从整体上减小了基本分形算法的计算量，简化了算法4分形压缩的数学基础是不动点定理与拼贴定理，本文根据基本的自动分形编码方法，建立数学模型对其进行推导，得到了用普通数学的极限理论解释分形编码的数学表达式，从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

In the wet compression process the evaporation model of water droplets was established. Based on mentioned above multi elemental section constant pressure mathematical models for actual wet compression processes was established.

且在了解湿压缩过程中的液滴蒸发速率、蒸发时间等基本理论的基础上建立了湿压缩过程的等压微元段的实际湿压缩的数学模型。

In this thesis, The way of mergence of the two methods is discussed based on the analysis of wavelet image compression and fractal image compression.

本文在分析分形图像压缩与小波图像压缩的基础上，对二者相结合的途径和方法进行了探讨。

The procedure is based on the concept that the critical load of a frame without sidesway is the same as the smallest value among these critical loads of the compression members of the frame with partially restrained ends, and the critical load of every compression member may be determined by the method of successive approximation.

将组成刚架的各桿件视为两端受不同约束的桿件，用静力学的方法求出此等桿件相应的临界荷重，其中最小值即为刚架的临界荷重，举有实例以示演算程序。

The numerical results showed that multi-stage compression could be an efficient approach to achieve high compression rate.

这些数值结果表明，多级压缩是一种提高脉冲压缩比的有效方法。

When this condition occurs, inbound replication with the source partner is stopped on the destination domain controller and event ID 2042 is logged in the Directory Services event log.

计算机密码学是研究计算机信息加密、解密及其变换的科学，是数学和计算机的交义学科，也是一门新兴的学科。

Instructions: click on the thumbnails to see a larger image, then use the left-right arrow keys to scroll through the slideshow.

使用说明：滑鼠点在小图上即可放大观赏。开启后键盘左右键可用来换照片。