Impulse noise reduction using image fusion approach

Khan, Najeebullah and Khan, Sajidullah and Chai, Wangyin (2017) Impulse noise reduction using image fusion approach. 2016 6th International Conference on Innovative Computing Technology, INTECH 2016. pp. 261-264. ISSN ISBN: 978-150902000-3

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Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new fusion based approach for impulse noise reduction from multi-sensors images. Image fusion is an important technique used in remote sensing, military and medical applications. In the proposed approach, firstly, only the uncorrupted pixels from multi-sensor images are grouped and then all those grouped pixels are filter with another state of the art approach for optimal results. The proposed approach is tested with several noisy images by finding the Mean Square Error, Peak Signal to Noise Ratio and Mutual Information values between the original and restored images. The experimental results show that the proposed algorithm outclasses all methods that individually de-noised and fused images.

Item Type: Article
Uncontrolled Keywords: image de-noising, image fusion, impulse noise, median filter, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Ibrahim
Date Deposited: 19 Apr 2017 08:21
Last Modified: 19 Apr 2017 08:21

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