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1)  image complexity
图像复杂度
1.
We propose a measurement,called image complexity,which could predict the influence of residual operation on the quality of recovered video images before transform is performed on them.
本文提出了一个能够在对视频图像进行变换操作前就可以预测残差操作对重构视频图像质量影响的度量值,称为图像复杂度,并在此基础上针对3D-DWT-SPIHT视频图像压缩算法提出了自适应帧组残差操作(AGRO)。
2.
Based on the difference of image complexity between original images and stego ones, this paper proposes a new technique for detecting least significant bit (LSB) embedding in digital images.
基于掩密图像与原始图像在图像复杂度上的差异,提出了一种新的针对图像LSB嵌入的掩密分析算法,通过分析待检图像在嵌入测试消息前后图像复杂度均值和方差的变化情况,利用Fisher判决准则,从而准确判断图像中是否嵌入了秘密消息。
2)  picture complexity
图像复杂度
1.
264 TM5 rate control algorithm on sequence smoothness keeping and buffer controlling, the picture complexity and buffer situation were considered simultaneously, and an improved frame layer rate control algorithm based on H.
264TM5码率控制算法在保持图像序列平滑性和缓冲控制上的不足,同时考虑图像复杂度和缓冲状况,在H。
3)  vertical-complexity of image block
图像块纵向复杂度
4)  complex document image
复杂文本图像
1.
Skew detection for complex document image based on blank bar directional fitting;
基于空白条方向拟合的复杂文本图像倾斜检测
5)  image brightness
图像亮度<复>
6)  complexity histogram
复杂度直方图
1.
Statistical analysis based on complexity histogram discontinuities measure is a powerful steganalytic technique for detecting the presence of secret message embedded in the digital images using Bit-Plane Complexity Segmentation(BPCS).
对复杂度直方图的不连续性测度的隐写分析能有效地察觉以位平面复杂度分割(BPCS)隐写的秘密信息的存在。
2.
The continuity of the complexity histogram of the pixel block is affected by the embedded data.
为实现对位平面复杂度分割(BPCS)隐写的有效检测,分析了图像复杂度直方图在像素块替换前后的变化,针对载密图像的位平面复杂度直方图出现明显的不连续点,定义了新的直方图不连续性测度,并提出了改进的检测算法。
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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