Skip to Main Content
Traditional algorithm of image enhancement enhances the contrast grade and noise of image at the same time. So, noise reduction is needed. Wavelet enhancement considers the spatial domain and frequency domain of image signal, but not the nonlinearity of vision. Aim at the problem of enhanced noise in image enhancement, a new algorithm for image enhancement based on wavelet multiscale is proposed by analyzing the effects of wavelet on signal and noise regularity. Making use of the correlation of the wavelet coefficient from different scales and the frequency localization of wavelet, the noise and image information is divided effectively. It can alleviate the noise amplification while enhancing the image feature.