Prabhdeep Singh*, Aman Arora and Rakesh Sharma
Image filtering is a crucial part of vision processing as it can remove noise from noisy images. There are many filtering techniques to filter an image. Each filtering technique has its own benefits to filter an image. The overall objective of this paper is to explore the benefits and limits of existing techniques and propose an improved filter which reduces noise from image. It is found that hybrid median filter and alpha trimmed has some potential benefits over existing filters when to reduce salt and pepper noise, but the improved filter can be used as framework for opening further research directions in solving for noise removal.
https://doi.org/10.62226/ijarst20140223
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Prabhdeep Singh*, Aman Arora and Rakesh Sharma | Improved Image Filtering Using Integrated Hybrid Median Filter & Alpha Trimmed Mean Filter | DOI : https://doi.org/10.62226/ijarst20140223
Journal Frequency: | ISSN 2320-1126, Monthly | |
Paper Submission: | Throughout the month | |
Acceptance Notification: | Within 6 days | |
Subject Areas: | Engineering, Science & Technology | |
Publishing Model: | Open Access | |
Publication Fee: | USD 60 USD 50 | |
Publication Impact Factor: | 6.76 | |
Certificate Delivery: | Digital |