#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.sizewidthRatio = heightRatio = Noneratio = 1if (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_hif widthRatio and heightRatio:if widthRatio < heightRatio:ratio = widthRatioelse:ratio = heightRatioif widthRatio and not heightRatio:ratio = widthRatioif heightRatio and not widthRatio:ratio = heightRationewWidth = int(ori_w * ratio)newHeight = int(ori_h * ratio)else:newWidth = ori_wnewHeight = ori_him.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q'])'''image.ANTIALIAS还有如下值：NEAREST: use nearest neighbourBILINEAR: linear interpolation in a 2x2 environmentBICUBIC:cubic spline interpolation in a 4x4 environmentANTIALIAS: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.sizedst_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_wheight = int(width*dst_scale)x = 0y = (ori_h - height) / 3else:#过宽height = ori_hwidth = int(height*dst_scale)x = (ori_w - width) / 2y = 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']) / widthnewWidth = 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.sizemark_im = image.open(arg['mark_img'])mark_w,mark_h = mark_im.sizeoption ={'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)