<p>Removing hue and saturation (&quot;desaturating&quot;) leads to a grayscale image with the same luminance as the original colors, for instance:</p>
<p><img src="https://i.sstatic.net/As70m.jpg" alt="original image" />
<img src="https://i.sstatic.net/i9Lqz.jpg" alt="grayscale image" /><br />
(source: my own photo)</p>
<p>It is not possible to remove hue alone without removing saturation, as any saturated color must be saturated in some direction (hue). Nor is it possible to &quot;split&quot; the image into HSV &quot;components&quot; in quite the way you can split into RGB components. Hue works like an angle of rotation around the &quot;color wheel&quot;, while saturation is the radius from the center:</p>
<p><img src="https://i.sstatic.net/WQRVt.png" alt="hue/saturation color wheel" /><br />
(image from <a href="https://www.highend.com/pub/support/controllers/documents/html/en/sect-colour_matching.htm" rel="nofollow noreferrer">here</a>)</p>

CC BY-SA 4.0
2020-10-02T19:18:44.457Z
Could you please also look into this since you're experienced with Python too? https://stackoverflow.com/questions/64163042/splitting-hue-and-saturation-from-an-image
Jbd
CC BY-SA 4.0
2020-10-02T18:21:15.477Z
2020-10-02T18:21:15.477Z
Nathan Reed
<p><a href="https://alloyui.com/examples/color-picker/hsv.html" rel="nofollow noreferrer">https://alloyui.com/examples/color-picker/hsv.html</a> - it would be the best for you to play a little with HSV color picker.</p>
<p>Problem of color picking with HSV boils down to 2D coordinates (H, S) with additional parameter V. Therefore, you are using H as x-axis value ans S as y-axis value. If you drop H and S (set them to 0), you basically have white color and with V, you can choose grey scale lying between white and black.</p>

CC BY-SA 4.0
2020-10-02T08:56:28.997Z
2020-10-02T08:56:28.997Z
DirectX_Programmer
<p>In an HSV model, the Hue is the color model. So when we split the image or remove H, should we get an image without rgb colors?</p>
<p>Similarly, saturation is the gray shade. I read that images become more grey and faded in this case. So what should happen when we remove both, hue and saturation, leaving only the vue component behind?</p>
<p>Any example images would be nice.</p>

<image-processing><color><image><color-science><color-separation>
splitting hue & saturating and leaving value behind
Jbd
# splitting hue & saturating and leaving value behind

(Asked by: username_0 on 2020-10-01)

In an HSV model, the Hue is the color model. So when we split the image or remove H, should we get an image without rgb colors?

Similarly, saturation is the gray shade. I read that images become more grey and faded in this case. So what should happen when we remove both, hue and saturation, leaving only the vue component behind?

Any example images would be nice.

**Tags:** image-processing, color, image, color-science, color-separation


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## 2 answers

### Answer by username_1 on 2020-10-02. Score: 3 | Accepted answer

Removing hue and saturation ("desaturating") leads to a grayscale image with the same luminance as the original colors, for instance:

![original image](https://i.sstatic.net/As70m.jpg)
![grayscale image](https://i.sstatic.net/i9Lqz.jpg)  
(source: my own photo)

It is not possible to remove hue alone without removing saturation, as any saturated color must be saturated in some direction (hue). Nor is it possible to "split" the image into HSV "components" in quite the way you can split into RGB components. Hue works like an angle of rotation around the "color wheel", while saturation is the radius from the center:

![hue/saturation color wheel](https://i.sstatic.net/WQRVt.png)  
(image from [here](https://www.highend.com/pub/support/controllers/documents/html/en/sect-colour_matching.htm))

> **Comments:**
> **username_0**: Could you please also look into this since you're experienced with Python too? https://stackoverflow.com/questions/64163042/splitting-hue-and-saturation-from-an-image  

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### Answer by username_2 on 2020-10-02. Score: 0

<https://alloyui.com/examples/color-picker/hsv.html> - it would be the best for you to play a little with HSV color picker.

Problem of color picking with HSV boils down to 2D coordinates (H, S) with additional parameter V. Therefore, you are using H as x-axis value ans S as y-axis value. If you drop H and S (set them to 0), you basically have white color and with V, you can choose grey scale lying between white and black.


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