To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
By using the energy distribution of the wavelet decomposition, image hiding algorithm based on wavelet transformation is presented, and then improved with prime number scrambling algorithm.
利用小波分解的能量分布规律，提出了基于小波变换的图像隐藏算法，并利用素数置乱对隐藏算法作进一步的改进。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
Experiments results show that the proposed fusion algorithm outperforms other fusion algorithms based on averaging, Laplacian pyramid, and wavelet fusion method using local energy.
实验结果表明本文提出的融合算法的性能优于平均融合算法、基于拉普拉斯塔型分解的融合算法和基于局部能量信息的小波融合算法。
The small target detection method of infrared imagery in complex background of sea and sky in studied, and an algorithm based on wavelet analysis and mutual energy combination is presented.
研究复杂背景下红外图像小目标检测问题，提出一种基于小波分析互能量交叉处理的目标检测方法。
The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high-energy noise and some non-Gauss noise simply and effectively;
统计算法在解决周期信号、高能噪声和高斯信号方面有独特之处，能简单有效提取以上噪声的特征；
The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high-energy noise and some non-Gauss noise simply and effectively;
统计算法在解决周期信号、高能噪声和高斯信号方面有独特之处，能简单有效提取以上噪声的特征；
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