在调整图像大小之前,您需要正确裁剪图像。基本思想是确定与缩略图图像具有相同纵横比(宽度与高度)比率的源图像的最大矩形区域,然后在调整到缩略图尺寸之前修剪(裁剪)其周围的任何多余部分)。这是一个函数,它将计算这样一个裁剪区域的大小和位置:
def cropbbox(imagewidth,imageheight, thumbwidth,thumbheight):
""" cropbbox(imagewidth,imageheight, thumbwidth,thumbheight)
Compute a centered image crop area for making thumbnail images.
imagewidth,imageheight are source image dimensions
thumbwidth,thumbheight are thumbnail image dimensions
Returns bounding box pixel coordinates of the cropping area
in this order (left,upper, right,lower).
"""
# determine scale factor
fx = float(imagewidth)/thumbwidth
fy = float(imageheight)/thumbheight
f = fx if fx < fy else fy
# calculate size of crop area
cropheight,cropwidth = int(thumbheight*f),int(thumbwidth*f)
# for centering use half the size difference of the image and the crop area
dx = (imagewidth-cropwidth)/2
dy = (imageheight-cropheight)/2
# return bounding box of centered crop area on source image
return dx,dy, cropwidth+dx,cropheight+dy
if __name__=='__main__':
print("===")
bbox = cropbbox(1024,768, 128,128)
print("cropbbox(1024,768, 128,128): {}".format(bbox))
print("===")
bbox = cropbbox(768,1024, 128,128)
print("cropbbox(768,1024, 128,128): {}".format(bbox))
print("===")
bbox = cropbbox(1024,1024, 96,128)
print("cropbbox(1024,1024, 96,128): {}".format(bbox))
print("===")
bbox = cropbbox(1024,1024, 128,96)
print("cropbbox(1024,1024, 128,96): {}".format(bbox))
确定裁剪区域后,调用返回的图像im.crop(bbox)
再调用im.thumbnail(...)
。