| Title | Study of Improved Median Filtering Using Adaptive Window Architecture |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Shelke, Sandeep K., Sinha, Sanjeet K., Patel, Govind Singh |
| Conference Name | 2021 International Conference on Computer Communication and Informatics (ICCCI) |
| Keywords | adaptive filtering, adaptive moving window architecture, Computer architecture, Filtering, filtering algorithms, Image coding, image denoising, image filtering, Informatics, Median filter, Metrics, pubcrawl, resilience, Resiliency, Salt & Pepper Noise, Scalability |
| Abstract | Over the past few years computer vision has become the essential aspect of modern era of technology. This computer vision is manly based on image processing whereas the image processing includes three important aspects as image filtering, image compression & image security. The image filtering can be achieved by using various filtering techniques but the PSNR & operating frequency are the most challenging aspects of image filtering. This paper mainly focused on overcoming the challenges appears while removing the salt & pepper noise with conventional median filtering by developing improved adaptive moving window architecture median filter & comparing its performance to have improved performance in terms of PSNR & operating frequency. |
| DOI | 10.1109/ICCCI50826.2021.9402434 |
| Citation Key | shelke_study_2021 |
Study of Improved Median Filtering Using Adaptive Window Architecture