A Complex Wavelet Based Spatially Adaptive Method for Noised Image Enhancement

A new image enhancement method aimed at optimizing contrast of image features while minimizing image noise is proposed in this paper based on complex wavelet transform. The denoising is accomplished by using the correlations between different stages of wavelet coefficients, and then the subtle features are retained while noise is efficiently suppressed. Image enhancement is realized by a scale adaptive strategy that can emphasize features with low contrast while protecting the strong contrast features from distortions by over enhancement. Results of experiments show that this method offers significantly improved performance over the conventional and previously reported multi-scale enhancement algorithms.