<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Fast and Efficient 4&#215;4 Tchebichef Moment Image Compression</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 4 (2010)</Volume>
			<Issue>Issue 3, September 2010</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>26</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Fast and Efficient 4&#215;4 Tchebichef Moment Image Compression</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v4i3.311</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Nur</FirstName>
				<LastName>Azman Abu</LastName>
				<Affiliation></Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Siaw</FirstName>
				<LastName>Lang Wong</LastName>
				<Affiliation></Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Hidayah</FirstName>
				<LastName>Rahmalan</LastName>
				<Affiliation></Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Shahrin</FirstName>
				<LastName>Sahib</LastName>
				<Affiliation></Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>26</Day>
			</PubDate>
		</History>
		<Abstract>Orthogonal moment functions have long been used in image analysis. This paper proposes a novel approach based on 4x4 discrete orthogonal Tchebichef moment for fast and efficient image compression. The method incorporates a simplified mathematical framework technique using matrices as well as a block-wise reconstruction technique to eliminate possible occurrences of numerical instabilities at higher moment orders. Then the 4x4 Tchebichef Moment Transform and Discrete Cosine Transform have been compared. The results show that the 4x4 Tchebichef moment has significant advantages over the other technique in terms of its error reconstruction, average bit-length of Huffman codes and image quality.  Moreover, Tchebichef moment provides a compact support to sub-block reconstruction for image compression. Tchebichef Moment Compression clearly performs potentially better for broader domains on real digital images and graphically generated images.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Orthogonal Moment Functions</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Image processing</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Image Coding</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">This work is supported by Fundamental Research Grant Scheme</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Tchebichef Moment Transforms. Ministry of Higher Education Malaysia</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
