Grayscale, often called black-and-white, refers to images or displays that contain only shades of gray, ranging from black to white.
Representation: Grayscale images are typically represented using 8 bits per pixel, allowing for 256 distinct shades of gray. This range, from 0 (black) to 255 (white), enables subtle variations in tone.
Color to Grayscale Conversion: Converting color images to grayscale involves calculating a weighted average of the red, green, and blue components. Common methods include averaging the three components equally, or using weights that account for the human eye's sensitivity to different colors. A common formula is: Grayscale = (0.299 * Red) + (0.587 * Green) + (0.114 * Blue). See also: Color%20to%20Grayscale Conversion.
Applications: Grayscale is widely used in various applications, including printing, medical imaging (Medical%20Imaging), and scientific visualization.
Advantages: Grayscale images are often smaller in file size compared to color images, making them more efficient for storage and transmission. They are also useful for emphasizing contrast and detail.
Digital Imaging: In Digital%20Imaging, grayscale is a fundamental concept. Image editing software provides tools for adjusting grayscale levels, contrast, and brightness.
Image Processing: Grayscale is a foundation for many Image%20Processing algorithms and techniques like edge detection and image segmentation.
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