Finally, TMS320C6201 being the kernel, an image compression coding algorithm is given to achieve the scheme for hardware realization.
最后以TMS320C 6201为核心给出了图像压缩编码算法的硬件实现方案。
For image sequence, this paper proposes a scheme of UAV image sequence compression and realizes it on base of the static image compression coding algorithm before.
序列图像压缩方面，在静态图像压缩算法基础上，提出并实现了一种基于小波的无人机序列图像压缩方案。
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。
The image coding and compression technologies based on the JPEG2000 standard is studied in this article, which focus on region-of-interest (ROI) compression and EBCOT optimization algorithm.
本文主要基于JPEG2000标准来研究图像编码和压缩相关技术，其重点是感兴趣区域（ROI）的压缩和EBCOT算法的优化。
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 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。
In this paper, a new predictive coding algorithm is presented for lossless image compression.
介绍一种实现图像无损压缩的预测编码算法。
The paper describes a modified embedded zerotrees coding algorithm adapting to the ARM microprocessor′s structure, which improves the image compression based on the ARM microprocessors.
利用ARM微处理器实现图像的小波变换，并根据ARM本身的结构特点提出了一种改进的嵌入式零树编码算法，以便在ARM微处理器上实现图像压缩。
The key to put remote sensing image compression technique into practical use is to select a high performance real-time coding algorithm which is low in memory and complexity.
选择具有低存储量、低复杂度、实时的高性能编码方法是遥感图像编码技术走向实际应用的关键。
The key to put remote sensing image compression technique into practical use is to select a high performance real-time coding algorithm which is low in memory and complexity.
选择具有低存储量、低复杂度、实时的高性能编码方法是遥感图像编码技术走向实际应用的关键。
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