- #coding:utf-8
- '''
- python图片处理
- @author:fc_lamp
- @blog:http://fc-lamp.blog.163.com/
- '''
- import Image as image
- #等比例压缩图片
- def resizeImg(**args):
- args_key = {'ori_img':'','dst_img':'','dst_w':'','dst_h':'','save_q':75}
- arg = {}
- for key in args_key:
- if key in args:
- arg[key] = args[key]
- im = image.open(arg['ori_img'])
- ori_w,ori_h = im.size
- widthRatio = heightRatio = None
- ratio = 1
- if (ori_w and ori_w > arg['dst_w']) or (ori_h and ori_h > arg['dst_h']):
- if arg['dst_w'] and ori_w > arg['dst_w']:
- widthRatio = float(arg['dst_w']) / ori_w #正确获取小数的方式
- if arg['dst_h'] and ori_h > arg['dst_h']:
- heightRatio = float(arg['dst_h']) / ori_h
- if widthRatio and heightRatio:
- if widthRatio < heightRatio:
- ratio = widthRatio
- else:
- ratio = heightRatio
- if widthRatio and not heightRatio:
- ratio = widthRatio
- if heightRatio and not widthRatio:
- ratio = heightRatio
- newWidth = int(ori_w * ratio)
- newHeight = int(ori_h * ratio)
- else:
- newWidth = ori_w
- newHeight = ori_h
- im.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q'])
- '''
- image.ANTIALIAS还有如下值:
- NEAREST: use nearest neighbour
- BILINEAR: linear interpolation in a 2x2 environment
- BICUBIC:cubic spline interpolation in a 4x4 environment
- ANTIALIAS:best down-sizing filter
- '''
- #裁剪压缩图片
- def clipResizeImg(**args):
- args_key = {'ori_img':'','dst_img':'','dst_w':'','dst_h':'','save_q':75}
- arg = {}
- for key in args_key:
- if key in args:
- arg[key] = args[key]
- im = image.open(arg['ori_img'])
- ori_w,ori_h = im.size
- dst_scale = float(arg['dst_h']) / arg['dst_w'] #目标高宽比
- ori_scale = float(ori_h) / ori_w #原高宽比
- if ori_scale >= dst_scale:
- #过高
- width = ori_w
- height = int(width*dst_scale)
- x = 0
- y = (ori_h - height) / 3
- else:
- #过宽
- height = ori_h
- width = int(height*dst_scale)
- x = (ori_w - width) / 2
- y = 0
- #裁剪
- box = (x,y,width+x,height+y)
- #这里的参数可以这么认为:从某图的(x,y)坐标开始截,截到(width+x,height+y)坐标
- #所包围的图像,crop方法与php中的imagecopy方法大为不一样
- newIm = im.crop(box)
- im = None
- #压缩
- ratio = float(arg['dst_w']) / width
- newWidth = int(width * ratio)
- newHeight = int(height * ratio)
- newIm.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q'])
- #水印(这里仅为图片水印)
- def waterMark(**args):
- args_key = {'ori_img':'','dst_img':'','mark_img':'','water_opt':''}
- arg = {}
- for key in args_key:
- if key in args:
- arg[key] = args[key]
- im = image.open(arg['ori_img'])
- ori_w,ori_h = im.size
- mark_im = image.open(arg['mark_img'])
- mark_w,mark_h = mark_im.size
- option ={'leftup':(0,0),'rightup':(ori_w-mark_w,0),'leftlow':(0,ori_h-mark_h),
- 'rightlow':(ori_w-mark_w,ori_h-mark_h)
- }
- im.paste(mark_im,option[arg['water_opt']],mark_im.convert('RGBA'))
- im.save(arg['dst_img'])
- #Demon
- #源图片
- ori_img = 'D:/tt.jpg'
- #水印标
- mark_img = 'D:/mark.png'
- #水印位置(右下)
- water_opt = 'rightlow'
- #目标图片
- dst_img = 'D:/python_2.jpg'
- #目标图片大小
- dst_w = 94
- dst_h = 94
- #保存的图片质量
- save_q = 35
- #裁剪压缩
- clipResizeImg(ori_img=ori_img,dst_img=dst_img,dst_w=dst_w,dst_h=dst_h,save_q = save_q)
- #等比例压缩
- #resizeImg(ori_img=ori_img,dst_img=dst_img,dst_w=dst_w,dst_h=dst_h,save_q=save_q)
- #水印
- #waterMark(ori_img=ori_img,dst_img=dst_img,mark_img=mark_img,water_opt=water_opt)
来源: http://www.phpxs.com/code/1005017/