In this paper, a sort of aliasing degree pre-estimated MAP (maximum a posteriori) algorithm, PEMAP, is proposed. It is used in super-resolution processing of satellite images on the ground.
提出一种预估计混叠度的PEMAP(pre-estimated MAP (maximum a posteriori))算法,用于卫星图像的地面超分辨率处理.
In order to enhance the remote sensing image with super-resolution in real-time offline, this paper designs an image super-resolution processing system based on FPGA and DSP. In this system, video is degressively sampled by FPGA in the part of pretreatment and two classical algorithms are hardware-enhanced with super-resolution by FPGA and DSP in the part of super-resolution processing.
2. Two spatial domain SR processing algorithms are proposed: Real-time frame iterative back-projection algorithm (RFE3P) and modified Cimmino fast row action iterative algorithm.
Superresolution processing for acoustic holographic imaging, which is based on the finite region of the object distribution and utilizes the relation between elements of holographic matrix from it, is proposed to increase the resolution of the imaging system. The calculating formulas are derived and knowledge of obtaing the object distribution in actual calculation is discussed. The iteration of the method can be applied to increase indefinitely the resolution of the imaging system when noise is absent. Sim...
The paper proposes an algorithm used in image processing, combining wavelet transform and Bézier surface interpolation with Kohonen neural network. The image is implemented by super resolution processing, which can improve the image quality. First, the original image is regarded as low frequency part. Then Bézier surface interpolation are implemented to the high frequency sub band images after wavelet transform. Then, the high frequency sub band images after interpolation are implemented respectively by K...
In this paper, a sort of aliasing degree pre-estimated MAP (maximum a posteriori) algorithm, PEMAP, is proposed. It is used in super-resolution processing of satellite images on the ground. The aliasing degree of satellite images is firstly determined in frequency domain by spectrum analysis, and then used in a joint estimation of the registration parameters and high-resolution image in space domain as a priori information. This algorithm overcomes the blindness and instability of the MAP algorithm and impr...
提出一种预估计混叠度的PEMAP(pre-estimated MAP (maximum a posteriori))算法,用于卫星图像的地面超分辨率处理.它通过频域分析确定卫星图像的混叠度,将其作为先验信息在空域控制MAP估计的循环迭代,联合估计帧间位移和高分辨率图像.该算法克服了最大后验概率MAP算法的盲目性和不稳定性,使其适应性更好.实际的卫星图像处理显示了较好的处理效果.