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<Article>
<Journal>
				<PublisherName></PublisherName>
				<JournalTitle>Transactions on Machine Intelligence</JournalTitle>
				<Issn>2821-1693</Issn>
				<Volume>3</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Method to Hide Information in Image Based on Selected Pixels</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>251</FirstPage>
			<LastPage>259</LastPage>
			<ELocationID EIdType="pii">209108</ELocationID>
			
<ELocationID EIdType="doi">10.47176/TMI.2020.251</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>S.</FirstName>
					<LastName>Khosravi</LastName>
<Affiliation>Department of Computer, Payame Noor University, PO BOX 19395-3697, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>07</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>There are various methods for concealing information or transmitting it covertly, with steganography being a prominent approach for secret communication. Unlike watermarking and fingerprinting, steganography aims to hide information in a way that its presence remains undetectable. Steganography is commonly applied to electronic media, particularly audio and image files. This paper provides an overview of image steganography, its applications, and different techniques. The objective is to outline the key features of an effective steganography algorithm. The ultimate goal is to develop a cross-platform solution capable of concealing a message within a digital image file. An image comprises numerous pixels, each with three color values, and is composed of millions of such numbers. Modifying a few color values in specific pixels typically results in an image that closely resembles the original. This paper introduces a technique that involves altering selected pixel color values based on the intensity criteria of colors in the image. The method strives to minimize image quality degradation, maintain information security, and, whenever possible, avoid changes in the image size.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Steganography</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pixel Value</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Color intensity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Image quality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Image Size</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.tmachineintelligence.ir/article_209108_36fe531236a533327a830c79b47b62cd.pdf</ArchiveCopySource>
</Article>
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