【摘要】 结合小波变换中相关系数理论,提出了一种基于小波变换的图像增强算法,该算法先区分小波域中由细节及噪声产生的高频系数,对由细节产生的信息进行增强,对噪声进行抑制·解决了通常算法中增强细节信号的同时也放大了噪声这个问题·实验表明,该算法在得到很好的图像增强的同时,能很好地抑制噪声,对于多噪声环境下的弱细节信号能达到很好的增强效果·更多还原

【Abstract】 A wavelet-based algorithm is proposed for image contrast enhancement, which distinguishes the HF coefficients due to signal from those due to noise with the correlation between wavelet planes, then, increases wavelet coefficients due to signal and suppresses those due to noise. The algorithm solves the problem that some conventional enhancement methods enhance noise visibility at the same time enhance signal visibility. Experience results show that the algorithm can achieve an excellent balance between the enhancement of subtle image detail and the avoidance of noise amplification, and enhance often weak signal features against a background of relatively high noise.更多还原