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Color mismanaging when saving to jpeg

I am coding a python script which uses Pillow to create images.
In my code I import a jpeg background and another jpeg image which I'll combine with draw.rounded_rectangle() and draw.text().
Problem is when I save the image directly to a jpeg file, the colors are very different from the png image. It's like the jpeg image has a greyscale filter applied.
Here's my code to save the images :
background.save('fin2.jpg', format="jpeg", quality=100, subsampling=0)
background.save('fin2.png', format="png")
os.system('sips -s format jpeg fin2.png --out ' + 'fin3.jpg')
As you can notice I use Apple's sips (scriptable image processing system) to convert the png to jpeg and the output is fine.
Here are the output images :
fin2.jpg
fin2.png
fin3.png
Any idea how to fix this in the code ?
(I am unable to upload the pictures directly to stackoverflow atm this is why I use external links)

PILLOW - Write list images in PDF using PIL and and compressed in PNG

I'm trying to save a list of images in a PDF :
frames[0].save(buff, format='PDF', save_all=True,
append_images=frames[1:])
But when I'm doing like that, it seems that the images are compressed in JPEG inside the PDF. Is it possible to compress as PNG images?
Thanks for help

how to convert jpeg to tiff file in python

Is there any way to convert .jpeg to .tiff file?
If yes, then how to do that?
There are many library in Python that can convert file from one format to another.
But, I have not found anything for this problem.
Thanks in advance!

see this
from PIL import Image
im = Image.open('yourImg.jpg')
im.save("pathToSave/hello.tiff", 'TIFF')

You can use PIL (Python Imaging Library) for this:
import Image
im = Image.open('test.jpg')
im.save('test.tiff') # or 'test.tif'
Also, this was the first result for your problem on Google, make sure you google extensively first.

According to OpenCV docs for functions used for image and video reading and writing imread does support JPEG files and imwrite can save TIFF files, though with some limitations:
Only 8-bit (or 16-bit unsigned (CV_16U) in case of PNG, JPEG 2000, and TIFF) single-channel or 3-channel (with ‘BGR’ channel order) images can be saved using this function.

Loosing Geospatial information in a .tif image

I have never worked with TIF images, I have a specific problem definition where I need to work on satellite raster in .TIF format, which I need to upload on Google Earth Engine.
But when I convert image into Numpy array to apply some Image Processing techniques it looses its Georeferencing. Is there any way of preserving that in Output Image?
from PIL import Image
Image.MAX_IMAGE_PIXELS = None
ImagenTotal = numpy.asarray(Image.open('Well/newnew3.tif'))
imshow(ImagenTotal[10:-10,10:-10,:])
pylab.savefig('foo{}.tif'.)

Save image without rescaling

I have a 2D array and I need to save it as an image. What's the best way to do it without rescaling? I want to read the image afterwards and check that the values have been saved correctly. I am saving it as a bmp so to avoid compression issues, but other formats should also be fine.

To save an image you can use SciPys imsave function.
imsave(path, image)
EDIT: To Save an image as bmp just choose the file extension in path accordingly.
EDIT2: To prevent intensity normalization you can use
scipy.toimage(image, cmin=0, cmax=255, mode='I').save("image.png")
You can use mode'I'to save your image in a specific format. Just be sure that your input is of type uint16.