提出了一种基于非抽样Contourlet变换的自适应阈值图像增强算法,首先对图像进行非抽样Contourlet变换得到不同尺度不同方向上的变换系数,然后由变换系数自适应地确定阈值和调整增强函数,并对变换系数做增强处理,最后对增强处理后的变换系数进行反变换,实现图像增强,实验结果表明,与其他基于变换域的算法相比,该算法可以得到更好的增强效果。
An algorithm for image enhancement based on the nonsubsampled contourlet transform and adaptive threshold is proposed. The coefficients in different scales and different directions are obtained by image decomposition using the nonsubsampled contourlet transform. With these coefficients, thresholds and the enhancement functions are adaptively set. After the enhancement and then reconstruction of these coefficients, image enhancement is implemented. Compared with other algorithms, this algorithm can get better effect.