An Effective Denoise Method Based on Two-Stage Strategy for Removing Impulse Noise

• Main Authors: Chang-Jui Chen, 陳昶叡
• Other Authors: 黃博惠
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/17109566467844206903

碩士 === 國立中興大學 === 資訊科學與工程學系所 === 98 === Removing noise plays an important role in digital image pre-processing. Noise effect the result of image processing directly, such as image segmentation, image fusion, and edge detection. The goal of noise removal is to suppress the noise while preserving image details. In this thesis, we propose an effective denoise method based on two-stage strategy for removing impulse noise. In the first phase, we detect noisy pixels accurately in the corrupted image by using a hierarchy of windows instead of a fixed window. In the second phase, we restore the noise candidates detected from first phase by using a modified edge-preserving regularization method. The modified edge-preserving regularization method can accurately restore the image corrupted with high noise ratio. We design two different experiments to prove that our method has a good performance. In the first experiment, we restore single ratio images. In the other experiment, we focus on the restoration of composite noise ratio images. In both experiments, the performance of our method in noise detection and image restoration is better than other methods.