I have an image viewer that shows the selected image. However I have different sizes of images and I would like to access the selected image size in order to have a fixed GUI. Otherwise GUI resizes and images are not showing properly. Is there any way to see the size of an image? After I get the image size I am thinking of subsampling according to its size. Thanks.
from PIL import Image
with Image.open('test.png') as im:
size = im.size
print(size)
Here is a way using PIL Image package.
Related
I have an image that I need to enlarge and enhance its quality for better reading
I tried the following using Pillow to resize the image but I still can't read it well
from PIL import Image
img = Image.open('Sample.jpg')
resized_img = img.resize((2450, 3283))
resized_img.save('Output.png')
Here's a sample of the image
I would like to compress and image using PIL, but when I execute it the image is still the same size. How do I solve it?
What I tried so far?
img.save('Compressed_image.tiff', dpi=[300,300], quality=35)
I tried to change the quality but the file size is always the same.
define the new width and height of the image
then use the following to downscale, before saving
img = img.resize( (width, height), Image.LANCZOS)
also, since TIFF is a lossless format, reducing the quality parameter would not have any effect on the saved filesize.
I want to show a set of images in a folder, suppose the folder has 100 images and I want to show the first 10 in grid order.
and also having the same size 300x300
If the image is larger than 300x300 rescale.
enter image description here
I have this code but I don't know how to rescale the image to size 300 * 300
from IPython.display import Image
from IPython.display import display
x = Image(filename="/content/workspace/model/SAE_preview_SAE masked.jpg")
y = Image(filename="/content/workspace/model/SAE_preview_SAE masked.jpg")
display(x, y)
How do I resize an image using PIL and maintain its aspect ratio?
This would solve the resizing issue. You can ignore aspect ratio if you do not need that.
There after using glob module of python could display all the images in the folder.
https://docs.python.org/3.7/library/glob.html
I have an image of 300*300 pixels size and want to convert it into 1500*1500 pixels size using python. I need this because i have to georeferenced this image with 1500*1500 pixel raster image. Any python library function or basic fundamental how to do this are welcome.
You should try using Pillow (fork of PIL = Python Image Library)
Simple like this:
from PIL import Image
img = Image.open("my_image.png")
img.resize((1500, 1500, ))
img.save("new_image.png")
I am using the following code to resize an image using PIL
img = Image.open("in.png")
resized = ImageOps.fit(img, (200, 200), method=Image.ANTIALIAS)
resized.save("out.png")
But the output image colors look very different. Here they are for comparison, the big one is the original:
What's even stranger is that when I open them using the image viewer in ubuntu, they look the same. But not in Windows or MacOS.
The larger image is using the Adobe RGB color profile. It is omitted from the smaller image, which means the color correction system will use some default (probably sRGB), which likely has a smaller gamut. This will cause the colors to appear duller.
Solution 1: Create the original image using sRGB instead of Adobe RGB.
Solution 2: Copy the color profile from the larger image to the smaller image.
Most Linux systems do not support color correction, at least not on the same scope that OS X or Windows do. So the fact that they appear the same in Ubuntu's image viewer is really a limitation of the image viewer program, which is unable to understand color profiles.