```python
# importing image class from PIL package
from PIL import Image
  
# creating image object
img = Image.open(r"C:\Users\System-Pc\Desktop\scene3.jpg")
  
# using convert method for img1
img1 = img.convert("L")
img1.show()
```
The above code opens a JPEG image named scene3 and then converts it into a grayscale photo, as indicated by convert() function being called with the value "L" for the mode argument. The newly converted image is then shown.

Color Transformation Example (Pillow)

Pillow allows for converting images to different color modes.
```
image.convert(mode=None, matrix=None, dither=None, palette=0, colors=256)
```
mode - The desired color mode
matrix - Optional conversion matrix
dither - Optional dithering method. Can be either NONE or FLOYDSTEINBERG
palette - Palette to use. Can be either WEB or ADAPTIVE. WEB involves a set number of colors while ADAPTIVE uses the number of colors set by the colors argument
colors - Number of colors to use if palette is ADAPTIVE


Saint Olaf College

Pillow supports multiple types of image transformations:
- Resize
- Rotate
- Color Transformation
- Advanced Transformations

Transforming Images (Pillow)

https://pillow.readthedocs.io/en/stable/index.html

Pillow Documentation

Image instances have a resize() function which accepts a tuple that contains the desired width and height. Optionally, a resample filter to be applied to the image and a 4-tuple bounding box that provides a specific region of the image to scale can be passed as arguments.
```python
size = (newwidth, newheight)
image.resize(size, resample=None, box=None)
```

Resizing Images (Pillow)

Image instances have a rotate() function that allows for rotation. The argument of the function is the amount of degrees to rotate the image counter-clockwise.
```python
image.rotate(angle)
```

Learn Before

Related

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