Mohd Helmi, Suid and Mohd Falfazli, Mat Jusof and Zulkifli, Musa and Nor Ashidi, Mat Isa (2015) A New Approach of Hybrid Switching Median Filter for Very Low Level Impulse Noise Reduction in Digital Images. In: International Congress on Natural Sciences and Engineering (ICNSE 2015) , 7-9 May 2015 , Kyoto, Japan. pp. 1-10..
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Abstract
Most of the image processing applications are greatly affected by the quality of images. Unfortunately, noise often contaminates images; yielding degradation of the quality of images. In order to overcome this flaw, a new filtering technique called the adroit hybrid switching median (AHSM) filter is presented in this work. The proposed filter is the integration of rank-ordered filtering and directional correlation-dependent filtering concepts. At first, the proposed algorithm will use a rank order based on the impulse detector to classify any potential noise pixels. Subsequently, the detected noise pixels are replaced by the estimated median value in the filtering stage. As a complement, a directional correlation-dependent filtering concept is adopted in the last iteration to clear the remainder noise pixels which are not attained in the previous filtering stage. This method is able to minimise the effects of random-valued impulse noise without degrading the details of the images. Both quantitative and qualitative analyses favor the proposed AHSM method, which consistently outperforms the conventional filtering techniques. Furthermore, the relatively easy-to-implement algorithm suggests the AHSM filter’s applicability in electronic imaging products.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Image processing, random-valued impulse noise, noise filtering, hybrid switching median filter |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 28 Oct 2015 05:59 |
| Last Modified: | 18 May 2018 07:37 |
| URI: | http://umpir.ump.edu.my/id/eprint/10895 |
| Download Statistic: | View Download Statistics |
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