#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)