Free online LAB image channels extractor. Just drag and drop your image here and it will automatically show its lightness, A, and B channels. Each channel for separation can be selected in the options, and if necessary, it can be turned into gray tones. Created by engineers from team Browserling.
Free online LAB image channels extractor. Just drag and drop your image here and it will automatically show its lightness, A, and B channels. Each channel for separation can be selected in the options, and if necessary, it can be turned into gray tones. Created by engineers from team Browserling.
This tool decomposes the image into LAB color components. LAB is a color space commonly used in color science and image editing. This program allows you to break down the image into LAB color components. The first component is L (Lightness). This channel represents the image's brightness, ranging from 0 (black) to 100 (white), controlling the image's luminance. The second component is A (green-red axis). The A channel represents the spectrum from green (-128) to red (+127). Negative values represent green tones, while positive values represent red tones. The third component is B (blue-yellow axis). The B channel represents the spectrum from blue (-128) to yellow (+127). Negative values represent blue tones, while positive values represent yellow tones. By separating one component from the others, the resulting image shows the properties of only the specifically chosen component. You can separate multiple components, compare them, and optionally convert them to grayscale tones. Image-abulous!
This tool decomposes the image into LAB color components. LAB is a color space commonly used in color science and image editing. This program allows you to break down the image into LAB color components. The first component is L (Lightness). This channel represents the image's brightness, ranging from 0 (black) to 100 (white), controlling the image's luminance. The second component is A (green-red axis). The A channel represents the spectrum from green (-128) to red (+127). Negative values represent green tones, while positive values represent red tones. The third component is B (blue-yellow axis). The B channel represents the spectrum from blue (-128) to yellow (+127). Negative values represent blue tones, while positive values represent yellow tones. By separating one component from the others, the resulting image shows the properties of only the specifically chosen component. You can separate multiple components, compare them, and optionally convert them to grayscale tones. Image-abulous!
In this example, we demonstrate what the lightness channel looks like when separated from the other channels in the LAB color space. It appears as a black and white representation, with brighter areas rendered as white (light gray) shades and darker areas as black (dark gray) tones. (Source: Pexels.)
In this example, we decompose the image of a flower into three LAB color space channels. The first image displays the lightness channel, the second image displays the green and red tones (channel A), and the third image showcases the blue and yellow tones (channel B). (Source: Pexels.)
This example demonstrates how the extracted LAB channels appear in grayscale space. Due to the brightness of the yellow color and the saturation of the pink hue, it can be challenging to discern the extent of color information in the extracted A and B channels. When applying the grayscale filter, object shapes in the image become clear and distinct. (Source: Pexels.)
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We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling we love to make people's lives easier, so we created this collection of image editing tools. Our tools have the simplest user interface that doesn't require advanced computer skills and they are used by millions of people every month. Our image tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!
