#Python image convert l how to#

Let's take a look at how that changes the code:ĭef black_and_white_dithering(input_image_path,īw = color_nvert('1', dither=Image.NONE) The Pillow project also supports creating black and white images with dithering, which is basically adding noise to the image. That looks pretty nice if I do say so myself. Let's see what kind of output our code generated: The documentation states 'When translating a color image to black and white (mode â€œLâ€), the library uses the ITU-R 601-2 luma transform: L = R * 299/1000 + G * 587/1000 + B * 114/1000' where the RGB maps to Red, Green and Blue. The mode we care about at the moment is 'L'. Pillow supports several modes including: 'P', 'L' and '1'. Here you will find that the first parameter to the convert() method is the mode. This may seem a bit strange, so let's look at the documentation. We then use that object's convert method to transform the image to black and white by passing it the string 'L'. It contains a call to open the Image which will return an Image object. The piece we really care about in this script is this function.

The function above takes two arguments: the input image's file path and the path we want to save the output to. Now we just need to create a simple function that can turn our full color photo into a black and white one:Ĭolor_image = Image.open(input_image_path) For this example, we will use the following fuzzy caterpillar: The first obstacle is finding a photo that you would like to edit.

#Python image convert l how to#

In this article we will look at the two simple ways to convert a photo to black and white and then we will also learn how to make a sepia-toned photo. If you want to change a photo that you took into a black and white photo programmatically, the Pillow package has you covered. I have also rescued a drab photo by turning it black and white. I personally like to play around with them as you can sometimes take a boring photo and turn it into something dramatic.

Black and white images aren't for everyone.