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	<title>error level analysis &#8211; BIOENGINEER.ORG</title>
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		<title>Dual-Stream AI Combines Compression Clues and Deep Vision to Expose Doctored Images</title>
		<link>https://bioengineer.org/dual-stream-ai-combines-compression-clues-and-deep-vision-to-expose-doctored-images/</link>
		
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		<pubDate>Sat, 10 Oct 2026 16:00:00 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[CBAM attention]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[convolutional neural network]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[digital image forensics]]></category>
		<category><![CDATA[error level analysis]]></category>
		<category><![CDATA[feature fusion]]></category>
		<category><![CDATA[forgery localization]]></category>
		<category><![CDATA[image forgery detection]]></category>
		<category><![CDATA[image splicing]]></category>
		<category><![CDATA[JPEG compression artifacts]]></category>
		<category><![CDATA[U-Net]]></category>
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					<description><![CDATA[Researchers have developed a dual-stream convolutional neural network that fuses RGB imagery with vectorized Error Level Analysis and CBAM attention to localize image forgeries such as splicing and retouching.]]></description>
		
		
		
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