UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 3
March-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2103082


Registration ID:
306726

Page Number

586-591

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Title

Pattern Matching Quantization for Image Substantiation

Abstract

Image substantiation which provides a means of ensuring the integrity of an image and identify the presence of unauthorized alterations is a systematic way to preserve components of digital images. Pattern Matching Quantization is a classical quantization from signal processing that allows the modelling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a large set of points (vectors) into groups having approximately the same number of points closest to them. Each group is represented by its centroid point, as in k-means and some other clustering algorithms. A Pattern matching compressed code is not only a remarkable image substantiation feature but also applicable in re-establishing the possibly disfigured pixels. However, if an image is subjected with unauthorizes alterations the required recovery contents vanishes. In order to prevent this difficulty, this paper proposes a quantization-based image substantiation scheme using Matrix barcodes is employed to preserve crucial contents of an image. Matrix barcodes incorporate rectangles, dots, hexagons, and other geometric patterns to form scannable squares and rectangles. This paper presents assimilating pattern matching quantized- code into matrix barcodes and embedding those barcodes into the image itself.

Key Words

Pattern Matching Quantization, Image Substantiation, Matrix Barcode, Quantized Code, Disfigured pixel detection.

Cite This Article

"Pattern Matching Quantization for Image Substantiation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.586-591, March-2021, Available :http://www.jetir.org/papers/JETIR2103082.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

"Pattern Matching Quantization for Image Substantiation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp586-591, March-2021, Available at : http://www.jetir.org/papers/JETIR2103082.pdf

Publication Details

Published Paper ID: JETIR2103082
Registration ID: 306726
Published In: Volume 8 | Issue 3 | Year March-2021
DOI (Digital Object Identifier):
Page No: 586-591
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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