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	<title>Matlab Tutorials &#187; convn</title>
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		<title>Working with 8-Bit and 16-Bit Images</title>
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		<category><![CDATA[16-Bit]]></category>
		<category><![CDATA[8-Bit]]></category>
		<category><![CDATA[Arithmetic Operations on Integer Classes]]></category>
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		<description><![CDATA[<h3>8-Bit and 16-Bit Indexed Images</h3>
<p>Double-precision (64-bit) floating-point numbers are the default MATLAB representation for numeric data. However, to reduce memory requirements for working with images, you can store images as 8-bit or 16-bit unsigned integers using the numeric classes uint8 or uint16, respectively. An image whose data matrix has class uint8 is called an 8-bit image; an image whose data matrix has class uint16 is called a 16-bit image. <a href='http://www.matlabtutorials.com/documents/working-with-8-bit-and-16-bit-images.html' rel="nofollow">Read More</a></p>Matlab Tags: 16-Bit, 8-Bit, Arithmetic Operations on Integer Classes, brighten, cat, colormap, conv2, convn, double, fft2, fftn, find, image, imagesc, imread, imwrite, matlab, permute, reshape, sum, tutorials]]></description>
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