基于小波变换的低对比度图像增强

针对传统算法存在噪声过增强的问题,提出了基于小波分析的图像增强算法。在小波变换多尺度分析的基础上,算法对图像多尺度分解得到的小波系数进行缩减去噪,然后在不同尺度上对各分解系数进行不同程度的增强;对同一尺度的系数进行非线性处理以增加对比度;增强低频子带图像的对比度以保证整体的增强效果。实验表明,该算法能有效地增强低对比度图像,减小了噪声的增强幅度,使结果图像具有很好的视觉效果。

Approach on image contrast enhancement based on wavelet transform

Image enhancement is an important issue of image processing technique, which is used to improve the visual quality of image. Pointing at the shortcoming of noise over|enhancement of traditional algorithm, a wavelet|based approach for image contrast enhancement is proposed. On the basis of taking full advantage of multiscale wavelet analysis, firstly the algorithm takes a step of wavelet shrinkage and then differently enhances the coefficients at each scale. To achieve a better visual effect, the algorithm takes in account human visual system while enhancing the wavelet coefficients. Experiment of the algorithm demonstrates that the algorithm avoids over|enhancement of noise while enhancing contrast of the image with good visual effect. ;