Progression approach for image denoising
| Autor: | Najah Ghazali, Wan Zuki Azman Wan Muhamad, Mohd Yusoff Mashor, Mahyun Ab Wahab, Ahmad Kadri Junoh, Abdesselam Beroual, Zainab Yahya, Bilal Charmouti |
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| Rok vydání: | 2019 |
| Předmět: |
arithmetic progression
noise Pixel Computer science business.industry Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing denoising technique Impulse noise Field (computer science) image processing Image (mathematics) impulse noise Digital image Computer Science::Computer Vision and Pattern Recognition Computer vision image Noise (video) Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | TELKOMNIKA (Telecommunication Computing Electronics and Control). 17:2948 |
| ISSN: | 2302-9293 1693-6930 |
| DOI: | 10.12928/telkomnika.v17i6.12408 |
| Popis: | Removing noise from the image by retaining the details and features of this treated image remains a standing challenge for the researchers in this field. Therefore, this study is carried out to propose and implement a new denoising technique for removing impulse noise from the digital image, using a new way. This technique permits the narrowing of the gap between the original and the restored images, visually and quantitatively by adopting the mathematical concept ''arithmetic progression''. Through this paper, this concept is integrated into the image denoising, due to its ability in modelling the variation of pixels’ intensity in the image. The principle of the proposed denoising technique relies on the precision, where it keeps the uncorrupted pixels by using effective noise detection and converts the corrupted pixels by replacing them with other closest pixels from the original image at lower cost and with more simplicity. |
| Databáze: | OpenAIRE |
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