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。
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