基于噪声可见性函数的SAR图像增强快速算法

Fast Algorithm for SAR Image Enhancement Based on NVF

针对SAR成像中图像模糊并伴有噪声的问题,结合噪声可见性函数,提出了一种SAR图像增强快速算法;该算法在图像分层的基础上,结合人眼视觉特性,引入噪声可见性函数,实现细节层图像的增益控制;根据GPU架构和存储结构特点,并行计算各个像素在基本层和细节层上的处理过程,完成该算法的并行优化设计与实现;实验结果表明,该算法能够有效提高图像质量,增强图像细节;同时,能够充分利用GPU的并行计算能力,有效提高SAR图像增强的实时性。

According to the problem of image blurring with noise in SAR imaging, an adaptive enhancement algorithm for SAR image which combines with the noise visibility function is proposed. This algorithm realizes the adaptive processing of the detail layer, combined with the visual characteristics of human eyes and the noise visibility function, based on the image layering. The processing of each pixel in the base layer and the detail layer is calculated in parallel according to the characteristics of GPU architecture and memory, and the parallel optimization design of the algorithm is completed. The simulation results show that this algorithm can improve the image quality effectively, and at the same time, enhance the real--time performance of SAR image enhancement by making full use of GPU parallel computing ability.