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- Title
Performance of Non-linear Cascaded Filtering Algorithm for Removal of Impulse Noise in Digital Images.
- Authors
ElKamchouchi, Hassan M.; Khalil, Ahmed E.; Darwish, Samy H.
- Abstract
The goal of impulse noise removal is to suppress the noise by preserving the integrity of edges and detail information. This paper will discuss this goal in two steps. In the first one, an overview of effective algorithms for image restoration was presented; while the second step represent a new hybrid filtering technique that suggested improving the denoising process in digital images. The filters used in this work as untrimmed decision based median filter (UDBMF) and decision based median filter (DBMF). The performance of these filters was compared based on qualitative parameters with some existing non linear filters at levels of noise up to ninety percentages. The results have shown that the suggested methodology has the potential to be applied in noise removal and a good performance is readily achievable. Also, the necessary details in image were preserved.
- Subjects
IMAGE reconstruction; BURST noise; PHOTOGRAPHIC filters
- Publication
International Journal of Simulation -- Systems, Science & Technology, 2016, Vol 17, Issue 32, p7.1
- ISSN
1473-8031
- Publication type
Article
- DOI
10.5013/IJSSST.a.17.32.07