为提高实时视频编码的图像质量，提出了一种低复杂度单通道视频编码的可变码率(VBR)控制算法。
To improve the image quality of real time video encoder, a low complexity variant bit rate (VBR) control algorithm for single-pass video encoding was proposed.
实验证明，基于3维小波变换的3维SPIHT编码算法在对超光谱图像压缩时，表现出了优良的率失真性能。 并且算法复杂度适中，具有嵌入式特性。
The test results show that the 3D SPIHT algorithm based on 3D DWT for hyperspectral images compression is very efficient, the algorithm is embedded and has modest complexity.
实验结果表明，算法可以在图像质量基本保持不变的基础上，有效地降低编码的复杂度。
The experimental results show that, the proposed algorithm can reduce encoder complexity significantly while coding quality is only negligible decreased.
与图像组大小固定的结构相比，自适应图像组结构(ags)提高了编码效率，但实现复杂度也大大增加。
Compared with fixed-size GOP structure, adaptive GOP structure (AGS) improves the coding performance, but the computational complexity of AGS is also increased significantly.
对测试图像序列进行测试的结果表明，该方案能明显降低编码复杂度，而编码质量只有轻微的下降。
For concerned test image sequences, the proposed algorithm can reduceencoder complexity significantly while coding quality is only slightly decreased.
本文给出了一种基于宏块的差图像直方图法，并根据图像复杂度在编码单元之间合理分配比较率。
First of all, a macroblock-based histogram of difference is introduced, and bits are allocated rationally among coding units according to image complexities.
设计图像颜色产生模块，对颜色值进行编码，对坐标线和数字刻度进行定位，减化了算法复杂度。
The design of color generating module, which codes color and marks the location of the coordinate line and digital scale, reduces the complexity of algorithm.
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.
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.
与图像组大小固定的结构相比，自适应图像组结构(ags)提高了编码效率，但实现复杂度也大大增加。
Compared with fixed-size GOP, adaptive GOP structure (AGS) could improve the coding performance, but its complexity increased extremely.
结果表明，该方法在不影响图像失真度和码率性能的前提下，降低了编码时间，减小了编码复杂度；
Experimental results show that the proposed algorithm can reduce the coding time and encoder complexity while maintaining similar PSNR and bite rate ;
结果表明，该方法在不影响图像失真度和码率性能的前提下，降低了编码时间，减小了编码复杂度；
Experimental results show that the proposed algorithm can reduce the coding time and encoder complexity while maintaining similar PSNR and bite rate ;
应用推荐