In my opinion, this challenge needs more patience and observation!
>>> import Image
>>> image=Image.open('/homeDownloads/oxygen.png')
>>> data=image.convert('L').getdata()
>>> str=''
>>> s_data=[]
>>> for i in range(19918,39836): # 2/3 of the image
s_data.append(data[i])
>>> for t in s_data:
str=str+chr(t)
[img]http://dl2.iteye.com/upload/attachment/0085/4689/6a2e5cab-1ccb-39ee-8edd-fa78bfd488ae.jpg[/img]
#find something unusual
#pick these stuff out
>>> import re
>>> s_str=re.search('s{5}.+/b',str)
>>> str=s_str.group()
>>> c='s'
>>> for ch in range(5,len(str),7):
c=c+str[ch]
>>> hint=[105, 110, 116, 101, 103, 114, 105, 116, 121]
>>> m=''
>>> for ch in hint:
m=m+chr(ch)
the final answer is ''integrity''
>>> import Image
>>> image=Image.open('/homeDownloads/oxygen.png')
>>> data=image.convert('L').getdata()
>>> str=''
>>> s_data=[]
>>> for i in range(19918,39836): # 2/3 of the image
s_data.append(data[i])
>>> for t in s_data:
str=str+chr(t)
[img]http://dl2.iteye.com/upload/attachment/0085/4689/6a2e5cab-1ccb-39ee-8edd-fa78bfd488ae.jpg[/img]
#find something unusual
#pick these stuff out
>>> import re
>>> s_str=re.search('s{5}.+/b',str)
>>> str=s_str.group()
>>> c='s'
>>> for ch in range(5,len(str),7):
c=c+str[ch]
>>> hint=[105, 110, 116, 101, 103, 114, 105, 116, 121]
>>> m=''
>>> for ch in hint:
m=m+chr(ch)
the final answer is ''integrity''
本文通过Python编程展示了如何从特定的图片中提取隐藏的文本信息。利用灰度转换及正则表达式等技术手段,成功解析出了图片内隐藏的一系列字符,并最终揭示了答案为'integrity'。
1416

被折叠的 条评论
为什么被折叠?



