Color Images De-Noising by Wavelet Maxima Representation and Regions Segmentation

摘要

In this paper, we present a multiresolution approach for color image de-noising by image reconstruction. The proposed method relies on a modified wavelet reconstruction algorithm. This algorithm does not use the wavelet maxima generated by decomposition but a new maxima representation. This new representation is calculated from a multi-scale region segmentation approach. The multi-scale segmentation process allows us to obtain closed edges (vital for a correct image reconstruction) and a more simple selection of most significant edges (the less affected by noise). The image de-noising result is judged by the uniformity of the reconstructed image regions.