此方法可以容易地扩展到WT变换编码。
This approach can be easily extended to the wavelet transform coding technique.
详尽的阐述了常用的压缩技术：预测编码和变换编码。
Introduce some common technique of video compressing, just like forecasting coding and switching coding.
提出了低码率正弦变换编码算法(STC)的改进算法。
A modified low bit rate sinusoidal transform coding algorithm (STC) is presented.
实验结果表明该方法的编码效率优于离散余弦变换编码。
The experimental results show this method could give better coding efficiency than the traditional DCT image coding.
本文介绍了一种自适应图象变换编码方法来压缩数字图象信号的带宽。
An adaptive image transform coding method for compressing the bandwidth of the digital image signal is described.
根据变换编辑码的持点，对变换编码中直流偏移处理提出一种快速算法。
Based on the property of transform coding, a fast transform coding algorithm of DC shift is proposed.
图像压缩编码长期以来利用离散余弦变换(DCT)作为变换编码的主要技术。
The DCT was used as the main method of image transform coding for a long time.
任意形状图象对象的变换编码方法是MPEG -4视频编码实现的核心技术之一。
Coding of arbitrarily shaped image is one of the core techniques in MPEG 4 video compression. One approach to transform an arbitrarily shaped image region is addressed.
图像压缩是数字图像处理中最重要的关键技术之一，传统的图像压缩方法有预测编码、变换编码和矢量量化等。
Image compression is one of the most important key techniques in image processing. Traditional compression methods include prediction coding, transform coding and vector quantization (VQ).
介绍了ADSP2105芯片的特点、系统结构以及实现ADPCM - P CM变换编码的方法，给出了程序设计的特点及技巧。
The characteristic of ADSP2105 chip and its system structure are introduced in this paper. The realization method of ADPCM-PCM transcode with ADSP2105 and its soft designs are given.
目前的视频压缩标准多数采用DCT变换编码和运动补偿 技术， 运动估计约占整个编码时间的60%、 运动补偿约占10%。
Most current video compression standards employ DCT transform and motion compensation, which approximately consumes 10% of encoding time, while motion estimation consumes about 60%.
本发明提供一种可多通道同时探测、高能量输入、结构简单、成本低、使用方式灵活、设备体积小、重量轻的基于阿达玛变换编码的高分辨率光学遥感载荷系统。
The system has the advantages of simultaneous detection of multiple channels, high energy input, simple structure, low cost, flexible use mode, small equipment volume and light weight.
视频空间分辨率下变换转换编码过程的运算量较大，受实时性、输出码率的限制，转换后的图像质量会有一定程度的下降。
Video transcoding for reduced spatial resolution needs a lot of computation. Restricted by real-time demand, the quality of transcoded stream will decrease in variant degree.
视频空间分辨率下变换转换编码过程的运算量较大，受实时性、输出码率的限制，转换后的图像质量会有一定程度的下降。
Video transcoding for reduced spatial resolution needs a lot of computation. Restricted by real-time demand, the quality of transcoded stream will decrease in variant degree.
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