from libtiff import TIFF
# to open a tiff file for reading:
tif = TIFF.open('filename.tif', mode='r')
# to read an image in the currect TIFF directory and return it as numpy array:
image = tif.read_image()
# to read all images in a TIFF file:
for image in tif.iter_images(): # do stuff with image
# to open a tiff file for writing:
tif = TIFF.open('filename.tif', mode='w')
# to write a image to tiff file
tif.write_image(image)

from libtiff import TIFFfile, TIFFimage
# to open a tiff file for reading
tif = TIFFfile('filename.tif')
# to return memmaps of images and sample names (eg channel names, SamplesPerPixel>=1)
samples, sample_names = tiff.get_samples()
# to create a tiff structure from image data
tiff = TIFFimage(data, description='')
# to write tiff structure to file
tiff.write_file('filename.tif', compression='none') # or 'lzw'
del tiff # flushes data to disk

from libtiff import TIFF 
from scipy import misc 
 
##tiff文件解析成圖像序列 
##tiff_image_name: tiff文件名； 
##out_folder：保存圖像序列的文件夾 
##out_type：保存圖像的類型，如.jpg、.png、.bmp等 
def tiff_to_image_array(tiff_image_name, out_folder, out_type):  
      
  tif = TIFF.open(tiff_image_name, mode = "r") 
  idx = 0 
  for im in list(tif.iter_images()): 
    # 
    im_name = out_folder + str(idx) + out_type 
    misc.imsave(im_name, im) 
    print im_name, 'successfully saved!!!' 
    idx = idx + 1 
  return 
 
##圖像序列保存成tiff文件 
##image_dir：圖像序列所在文件夾 
##file_name：要保存的tiff文件名 
##image_type:圖像序列的類型 
##image_num:要保存的圖像數(shù)目 
def image_array_to_tiff(image_dir, file_name, image_type, image_num): 
 
  out_tiff = TIFF.open(file_name, mode = 'w') 
   
  #這里假定圖像名按序號排列 
  for i in range(0, image_num): 
    image_name = image_dir + str(i) + image_type 
    image_array = Image.open(image_name) 
    #縮放成統(tǒng)一尺寸 
    img = image_array.resize((480, 480), Image.ANTIALIAS) 
    out_tiff.write_image(img, compression = None, write_rgb = True) 
     
  out_tiff.close() 
  return  

import cv2


cv2.imread("filename",flags)

對于cv2，imread的關(guān)于通道數(shù)和位深的flags有四種選擇：

IMREAD_UNCHANGED = -1#不進(jìn)行轉(zhuǎn)化，比如保存為了16位的圖片，讀取出來仍然為16位。
IMREAD_GRAYSCALE = 0#進(jìn)行轉(zhuǎn)化為灰度圖，比如保存為了16位的圖片，讀取出來為8位，類型為CV_8UC1。
IMREAD_COLOR = 1#進(jìn)行轉(zhuǎn)化為RGB三通道圖像，圖像深度轉(zhuǎn)為8位
IMREAD_ANYDEPTH = 2#保持圖像深度不變，進(jìn)行轉(zhuǎn)化為灰度圖。
IMREAD_ANYCOLOR = 4#若圖像通道數(shù)小于等于3，則保持原通道數(shù)不變；若通道數(shù)大于3則只取取前三個(gè)通道。圖像深度轉(zhuǎn)為8位
對于多通道TIFF圖像，若要保證圖像數(shù)據(jù)的正常讀取，顯然要選擇IMREAD_UNCHANGED作為imread的flags設(shè)置值。

>>> import Image
>>> im = Image.open("j.jpg")
>>> print im.format, im.size, im.mode
JPEG (440, 330) RGB

>>> box = (100, 100, 200, 200)
 >>> region = im.crop(box)
 >>> region.show()
 >>> region = region.transpose(Image.ROTATE_180)
 >>> region.show()
 >>> im.paste(region, box)
 >>> im.show()

def roll(image, delta):
  "Roll an image sideways"

  xsize, ysize = image.size

  delta = delta % xsize
  if delta == 0: return image

  part1 = image.crop((0, 0, delta, ysize))
  part2 = image.crop((delta, 0, xsize, ysize))
  image.paste(part2, (0, 0, xsize-delta, ysize))
  image.paste(part1, (xsize-delta, 0, xsize, ysize))

  return image

>>>out = im.resize((128, 128))           #
 >>>out = im.rotate(45)               #逆時(shí)針旋轉(zhuǎn) 45 度角。
 >>>out = im.transpose(Image.FLIP_LEFT_RIGHT)    #左右對換。
 >>>out = im.transpose(Image.FLIP_TOP_BOTTOM)    #上下對換。
 >>>out = im.transpose(Image.ROTATE_90)       #旋轉(zhuǎn) 90 度角。
 >>>out = im.transpose(Image.ROTATE_180)      #旋轉(zhuǎn) 180 度角。
>>>out = im.transpose(Image.ROTATE_270)      #旋轉(zhuǎn) 270 度角。

import os, sys
from PIL import Image

for infile in sys.argv[1:]:
  outfile = os.path.splitext(infile)[0] + ".thumbnail"
  if infile != outfile:
    try:
      im  = Image.open(infile)
      x, y = im.size
      im.thumbnail((x//2, y//2))
      im.save(outfile, "JPEG")
    except IOError:
      print "cannot create thumbnail for", infile

Creates an image memory from an object exporting the array interface (using the buffer protocol).

If obj is not contiguous, then the tobytes method is called and frombuffer() is used.

Parameters: 
obj – Object with array interface
mode – Mode to use (will be determined from type if None) See: Modes.
Returns: 
An image object.

New in version 1.1.6.