Image Sharpening and Restoration Using Image Processing Techniques

Alex Jose , Abhinav Dileep , Alex Varghese

Keywords: Image Restorations, Image Sharpening, Restoration Techniques, Median Filter, Mean Filter.

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.

Published Paper   E-Certificate

"Image Sharpening and Restoration Using Image Processing Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1321 - 1325, March-2023, Available :https://ijsdr.org/papers/IJSDR2303216.pdf

Volume 8 Issue 3, March-2023

Pages : 1321 - 1325

Paper Reg. ID: IJSDR_204943

Published Paper Id: IJSDR2303216

Downloads: 000347535

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303216

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303216

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition