Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images

• Main Authors: HUANG, TZU-HSUAN, 黃子璇
• Other Authors: LU, CHING-TA
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/27ta68

碩士 === 亞洲大學 === 資訊傳播學系 === 104 === The quality of digital bio-image would be deteriorated by the corruption of impulse noise in the record or transmission. This deterioration causes the difficulties in diagnosis for a doctor. How to efficiently remove this impulse noise for a corrupted bio-image is an important research task. This thesis proposes a new method for the removal of salt-and-pepper noise in a noisy bio-image. Initially, a fixed-size local window with small size is employed to analyze each pixel. The fixed-local window and median filtering are employed to restore the center noisy pixel when noise density is low. Conversely, a variable-size window and majority-weighting filtering are utilized to restore the center noisy pixel if noise density is high. Experimental results show that the proposed method can efficiently remove salt-and-pepper noise for a corrupted bio-image in various noise corruption densities, while the denoised image is free from blurred effect.