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Published in:

Volume 9 Issue 10
October-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2210483


Registration ID:
508358

Page Number

e602-e610

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Title

QUALITY OF THE IMAGE OF EXISTING IMAGE SCALING ALGORITHMS

Abstract

When resizing a digital picture, the process is known as "image scaling," and special algorithms are used to accomplish this task. In this research, both adaptive and non-adaptive techniques are described to produce visually distinct resized versions of the original picture. The phrase "Image Interpolation" describes the method used to transform an image from one coordinate system (dimension) to another without compromising its visual quality. A picture may gain blank pixels when enlarged using interpolation methods. Color is mathematically calculated to fill these pixels depending on the values of the pixels around it. It is usually exceedingly challenging to create a perfect replica of an original picture after using image interpolation methods. As we compute additional pixels during a resize operation, the picture quality of the scaled image will always vary from the original. During the process of resizing a picture, artefacts such as jaggies, blurring, ringing, and edge halo may become visible.

Key Words

When resizing a digital picture, the process is known as "image scaling," and special algorithms are used to accomplish this task. In this research, both adaptive and non-adaptive techniques are described to produce visually distinct resized versions of the original picture. The phrase "Image Interpolation" describes the method used to transform an image from one coordinate system (dimension) to another without compromising its visual quality. A picture may gain blank pixels when enlarged using interpolation methods. Color is mathematically calculated to fill these pixels depending on the values of the pixels around it. It is usually exceedingly challenging to create a perfect replica of an original picture after using image interpolation methods. As we compute additional pixels during a resize operation, the picture quality of the scaled image will always vary from the original. During the process of resizing a picture, artefacts such as jaggies, blurring, ringing, and edge halo may become visible.

Cite This Article

"QUALITY OF THE IMAGE OF EXISTING IMAGE SCALING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.e602-e610, October-2022, Available :http://www.jetir.org/papers/JETIR2210483.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"QUALITY OF THE IMAGE OF EXISTING IMAGE SCALING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppe602-e610, October-2022, Available at : http://www.jetir.org/papers/JETIR2210483.pdf

Publication Details

Published Paper ID: JETIR2210483
Registration ID: 508358
Published In: Volume 9 | Issue 10 | Year October-2022
DOI (Digital Object Identifier):
Page No: e602-e610
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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