In Python 3.x, I am using PIL to resize images, I know that we can reduce the height or width by subtraction or division by pixels. But, is it possible to resize an image to a desired size, say 200kb and remain its proportions? Assuming the image(s) is larger but the size is unknown.
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试):
问题:
回答1:
I am still learning Python, so there may be better ways, but here is a function that saves a PIL/Pillow image as a JPEG and allows you to specify a maximum size.
It uses a binary search to minimise the amount of work needed and it encodes into BytesIO
memory buffer to save writing images to disk. If anyone has any suggestions for improvements, please let me know!
#!/usr/local/bin/python3
import io
import math
import sys
import numpy as np
from PIL import Image
def JPEGSaveWithTargetSize(im, filename, target):
"""Save the image as JPEG with the given name at best quality that makes less than "target" bytes"""
# Min and Max quality
Qmin, Qmax = 25, 96
# Highest acceptable quality found
Qacc = -1
while Qmin <= Qmax:
m = math.floor((Qmin + Qmax) / 2)
# Encode into memory and get size
buffer = io.BytesIO()
im.save(buffer, format="JPEG", quality=m)
s = buffer.getbuffer().nbytes
if s <= target:
Qacc = m
Qmin = m + 1
elif s > target:
Qmax = m - 1
# Write to disk at the defined quality
if Qacc > -1:
im.save(filename, format="JPEG", quality=Qacc)
else:
print("ERROR: No acceptble quality factor found", file=sys.stderr)
################################################################################
# main
################################################################################
# Load sample image
im = Image.open('/Users/mark/sample/images/lena.png')
# Save at best quality under 100,000 bytes
JPEGSaveWithTargetSize(im, "result.jpg", 100000)
If I run that as is, with target size of 100,000 bytes, I get:
-rw-r--r--@ 1 mark staff 96835 11 Sep 18:21 result.jpg
If I change the target size to 50,000 bytes, I get:
-rw-r--r--@ 1 mark staff 49532 11 Sep 18:26 result.jpg
Keywords: Python, PIL, Pillow, JPEG, quality, quality setting, max size, maximum size, image, image processing, binary search.