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Organising Methods and Their Unique Uses
### Bitmap
*Original Image*
*Inverted Colours*
The number of colours in the image is 255, thus any RGB value x in the original image is now 255 - x in the inverted image.
*Hue +180*
When the hue of an image is changed, the primary colours are rotated. This means that all R values move to become G values, B to R and G to R. (or similar). There are shades between these distinct swaps.
*Saturation* *-100*
The RGB value of each of the pixels average out to its surrounding pixels' corresponding RGB value slowly through the amount specified.
*Vibrance -100*
Makes the RGB values more distinct, heading towards either the upper or lower end. Eg 128<= heads towards 255 whereas >128 heads towards 0.
*Curves Input:13 Outpu:52*
Not sure :|.
### Vectors
- This is an image format that stores images as mathematical representations of geometrical parts of the imae. Eg storing a line using general form.
- You can edit shapes without losing quality (Bezier Curve)
- Preservation of data
What is the purpose of the following methods of organising images? |