数字图像的增强方法研究

A Regularized Algorithm for Inverse Problem of Calibrating Implied Volatility of European Option

图像增强是利用灰度校正,直方图修正,噪音消除中值滤波梯度等方法使图像更清晰,并消除噪音,是非常有效提高工作效率的一种途径,利用直方图增强,对比度增强以及滤波等方法对带限信号进行了增强处理。最后,通过数值算例说明了方法的有效性。

The chief researching meaning of picture-enhanced is to make the picture more clearly,eliminate noise and fit for work by using gray-rectified,histogram-enhanced,noise-dispelled to eliminate the medium filtering gradient.Picture-enhanced is an effective way to raise working efficiency.it emphasizes on the methods of using histogram-enhanced and filter plexer work on strengthening the band-limited signal.In the end of this paper,we give a numerical example to show that these methods are effective.