机构地区: 华南理工大学自动化科学与工程学院
出 处: 《控制理论与应用》 2003年第4期525-528,共4页
摘 要: 给出一种数字图像盲增强的新算法。其中源数字图像及其灰度级未知,已知的仅仅是被噪声污染了的图像。该算法首先估计密度函数,然后估计图像的灰度级,最后去噪声重建图像,达到图像增强的目的。 A new algorithm for blind enhancement of digital images was presented. While the corrupted image was known, the source image and its gray levels were unknown. The probability density function was firstly estimated. Then the gray levels were also estimated. Finally, the corrupted image was denoised and reconstructed, and the image enhancement was accomplished. The simulation results help confirm the validity of the algorithm.