A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt.
提出了一种基于形态膨胀运算的对子带间重要系数位置信息进行联合编码的新型小波图像压缩编码算法。
The experiments show that the blind watermarking algorithm is robust in JPEG image compression, image clipping, image scaling and image filtering, especially in wavelet image compression.
实验结果表明，该算法对JPEG压缩及图像剪裁、缩放、滤波有较好的鲁棒性，特别对于基于小波压缩算法的图像具有很好的鲁棒性。
A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.
建立了基于小波变换的运动图像编码系统模型，实现了数据的高效压缩并得到了良好的恢复图像。
On the basis of analyzing video data acquisition from radar recording meter, an improved radar image compression algorithm, based on zero-tree coding wavelet decomposition, was proposed.
在对雷达记录仪采集的视频数据分析的基础上，提出了一种改进的基于零树编码的小波分解雷达图像压缩算法。
Combined with various applications in image coding and compression, lifting scheme transform is compared with wavelet transform in both hard realization and computation burden.
结合图像压缩编码的具体应用，从硬件可实现性和计算量两个方面对比了提升框架变换和小波变换。
D wavelet transform compression coding for image seqUences has been reported recently.
最近有文献报道图像序列的三维子波变换压缩编码。
Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.
目前，小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点，越来越受到重视。
Integer to integer wavelet transform has a simple structure, needs no more storage space and is very easy to be implemented, which is suitable for image compression.
整数提升小波变换结构简单，不需要额外的存储空间，易于实现，在图像压缩中具有很好的应用价值。
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。
This article puts emphasis on how to improve compression ratio of image on the premise of ensuring the compressed image with good sight when wavelet analysis is applied to the compression of image.
本文研究的重点是将小波分析应用于图像压缩，探讨在确保压缩图像质量的前提下，如何提高图像压缩比。
Then a special Vector Quantization, called Wavelet Tree Vector Quantization (WTVQ), is designed to compress the every spectral image data, and a higher compression performance is obtained.
采用特殊矢量量化编码，叫作小波树矢量量化(WTVQ)编码对每个谱象数据进行压缩，获得较高的压缩性能。
The paper, by using the transform characteristic of Wavelet, mainly studies the method for image data compression in order to search for the new way of high proportion, high quality image compression.
小波变换是一个新兴数学分支，本文利用小波变换的特性研究图象数据压缩方法，以探寻高比例、高质量压缩图象数据的新途径。
It USES wavelet and fractal to compress image and compare its compression result. Then sum-up what is fit for wavelet and fractal compression.
本课题就是针对上述问题，通过小波变换和分形这两种方法来进行图像压缩，对比起压缩效果，总结出分别适合于小波和分形压缩的图像。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点，提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。
The project is based on wavelet transform image compression, and implements wavelet transform, subband coding, The quantization and entropy encoding processes provide data compression;
该方案基于小波变换的场内图像压缩技术，采用小波变换、子带编码、自适应量化和熵编码来对图像数据进行压缩；
The embedded image compression algorithm is discussed. To speed the embedded image compression algorithm with wavelet, a depth variable embedded coding scheme is proposed.
为了提高小波嵌入压缩算法的速度，提出了一种可变深度嵌入小波压缩算法。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
This thesis proposes a kind of Wavelet neural network algorithm which has been used in the medical image compression, the experiment result shows that the method has a good compression effect.
本文提出一种用于图像压缩的小波神经网络算法，在医学图像压缩中的应用进行了研究，实验结果表明该算法是具有较好的图像压缩效果。
To meet the needs in multimedia applications, a new wavelet-based image compression standard- JPEG2000 was developed in 2000.
因此，2000年诞生了基于小波变换的更高压缩率以及更多新功能的新一代静态图像压缩标准JPEG2000。
The wavelet has the good multi-resolution decomposition features, which both have a significant compression of image data, but also retain most of the information of an image.
而小波变换多分辨率分解的优良特性，既能大幅度的压缩图像数据，又能很好的保留图像的绝大部分的信息。
Due to wavelet transforms efficiently overcoming the limitations of Fourier transform in dealing with unstable and complicated signal, they are popular in image compression and signal processing.
由于小波变换有效地克服了傅氏变换在处理非平稳的复杂信号时所存在的局限性，因而在图像与信号处理领域受到了广泛的重视。
From the Angle of the engineering and experimentation in the MATLAB, the paper have discussed the application of image compression based on the wavelet transformation.
本文基于Matlab数学分析工具环境下从实验角度出发，探讨了小波变换在图像压缩中的应用和小波基的选取。
The paper, by using the transform characteristic of wavelet, mainly studies the method for image data compression in order to search for the new way of high proportion, high quality image compression.
研究了电子束曝光机图形数据格式转换软件的分割、压缩算法 ，针对传统的图形数据分割、压缩算法存在的主要缺点 ，提出了新的分割算法和压缩算法 ，并对压缩算法进行了详细的论述和研究。
This paper proposes an image compression method using perceivable entropy coding based on wavelet transformation. First, an image is decomposed multicesolutionally by wavelet transformation;
提出了一种基于视觉特性的子波变换图象量化编码方法．这种方法首先通过子波变换将图象进行多分辩率分解；
This paper proposes an image compression method using perceivable entropy coding based on wavelet transformation. First, an image is decomposed multicesolutionally by wavelet transformation;
提出了一种基于视觉特性的子波变换图象量化编码方法．这种方法首先通过子波变换将图象进行多分辩率分解；
应用推荐