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Greyscale image

Example of special effects on photos:

negative image
Effect Grayscale, Method Grayscale:  This is a greyscale image obtained by applying the special effect "grayscale image" to the original image at bottom with Zoner-Photo-Studio.  The method is grayscale.

With Zoner Photo Studio it is possible to obtain a few different greyscale images of a photo.  The result may vary according to the selected method.

Available methods include grayscale, desaturation, advanced, average of channels and maximum of channels.


negative image
Effect Grayscale, Method Desaturation:  This is a greyscale image obtained by applying the special effect "grayscale image" to the original image at bottom with Zoner-Photo-Studio.  The method is desaturation, that means removing the color saturation information of the color photo.


negative image
Effect Grayscale, Method Advanced:  This is a greyscale image obtained by applying the special effect "grayscale image" to the original image at bottom with Zoner-Photo-Studio.  The method is advanced, which is probably a kind of mix of the other methods.


negative image
Effect Grayscale, Method Average channels:  This is a greyscale image obtained by applying the special effect "grayscale image" to the original image at bottom with Zoner-Photo-Studio.

The method is average of RGB channels,  what means that behind the scene following operation is done:
- splitting the color photo into 3 greyscale images that represent the red component,  the green component and the blue component of the original color photo.
- taking, pixel by pixel, the grey value of each one of these 3 (R,G and B) images and calculating the mean value.


negative image
Effect Grayscale, Method Maximum channels:  This is a greyscale image obtained by applying the special effect "grayscale image" to the original image at bottom with Zoner-Photo-Studio.

The method is maximum of RGB channels,  what means that behind the scene following operation is done:
- splitting the color photo into 3 greyscale images that represent the red component,  the green component and the blue component of the original color photo.
- taking, pixel by pixel, the lightest grey value of each one of these 3 (R,G and B) images.


original image
This is the original color photo.

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