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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: Image Sharpening and Restoration Using Image Processing Techniques
Authors Name: Alex Jose , Abhinav Dileep , Alex Varghese
Unique Id: IJSDR2303216
Published In: Volume 8 Issue 3, March-2023
Abstract: ABSTRACT: Image restoration is the process of restoring an image to its original state by removing noise and blur. It can be challenging to eliminate image blur in a variety of contexts, including photography, radar imaging, and the removal of motion blur brought on by camera shake. Image noise is an undesirable signal that appears in images from sensors such as thermal or electrical signals as well as environmental factors like rain, snow, etc. Digitized photographs frequently suffer from a lack of quality, including issues with contrast, shading, and artifacts brought on by shortcomings in focusing, lighting, and other factors. Therefore, the image quality needs to be enhanced using fundamental methods. The manipulation of a picture to expressly highlight certain elements is known as image enhancement. The approaches for improving image contrast that is now available focus on the image properties that must be processed and ignore user variables. Image sharpening is one of the popular image enhancement methods used in every industry where images need to be comprehended and studied. This study compares various methods for sharpening images using unsharp masking (UM). Diverse filtering methods are used to assess these algorithms. The findings indicate that the majority of these methods can be employed for image sharpening and are highly sensitive to the enhancement factor. In this study, we will examine and evaluate several noise and blur models, restoration strategies, and image-enhancing methods. Researchers have proposed several ways in this respect.
Keywords: Keywords: Image Restorations, Image Sharpening, Restoration Techniques, Median Filter, Mean Filter.
Cite Article: "Image Sharpening and Restoration Using Image Processing Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1321 - 1325, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303216.pdf
Downloads: 000337354
Publication Details: Published Paper ID: IJSDR2303216
Registration ID:204943
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 1321 - 1325
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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