search
HomeBackend DevelopmentPython Tutorialpython处理图片之PIL模块简单使用方法

本文实例讲述了python处理图片之PIL模块简单使用方法。分享给大家供大家参考。具体实现方法如下:

#!/usr/bin/env python  
#encoding: utf-8 
import Image  
class myimg: 
  def __init__(self, open_file, save_file): 
    self.img = Image.open(open_file) 
    self.save_file = save_file 
  def Change_Size(self, percent=100, height=None, width=None): 
    ''''' 
    percent:以百分比来决定大小 
    height, width:以指定的高、宽来决定大小 
    ''' 
    if not (height and width): 
      width,height = self.img.size   
    new_img = self.img.resize((width*percent/100,height*percent/100),Image.BILINEAR) 
    new_img.save(self.save_file) 
  def Rotation(self, angle): 
    ''''' 
    angle: 旋转的度数 
    ''' 
    rot_img = self.img.rotate(angle) #旋转 
    rot_img.save(self.save_file) 
  def Save_as(self, filename): 
    ''''' 
    filename: 另存为图片格式,直接根据后缀名来 
    ''' 
    self.img.save(filename)  
  def Draw_Something(self): 
    ''''' 
        利用ImageDraw来画图形 
    ''' 
    import ImageDraw 
    draw = ImageDraw.Draw(self.img) 
    width,height = self.img.size 
    draw.line(((0,0),(width-1,height-1)),fill=255) #画直线 
    draw.line(((0,height-1),(width-1,0)),fill=255) 
    draw.arc((0,0,width-1,height-1),0,360,fill=255) #画椭圆 
    self.img.save(self.save_file) 
  def Enhance_Something(self): 
    ''''' 
        利用 ImageEnhance来增强图片效果 
    ''' 
    import ImageEnhance 
    brightness = ImageEnhance.Brightness(self.img) 
    bright_img = brightness.enhance(2.0) ##亮度增强 
    bright_img.save(self.save_file) 
    sharpness = ImageEnhance.Sharpness(self.img) 
    sharp_img = sharpness.enhance(7.0) #锐度增强 
    sharp_img.save(self.save_file) 
    contrast = ImageEnhance.Contrast(self.img) #对比度增强 
    contrast_img = contrast.enhance(2.0)  
    contrast_img.save(self.save_file) 
if __name__ == "__main__": 
  file_name = r"D:\test.png" 
  save_file = r"D:\save.png" 
  saveas_file = r"D:\save_as.bmp" 
  oimg = myimg(file_name, save_file) 
  oimg.Change_Size(30) 
  oimg.Rotation(45) 
  oimg.Save_as(saveas_file) 
  oimg.Draw_Something() 
  oimg.Enhance_Something()

原图:

处理过的画图:(锐化过的)

PS:此外还有另一个比较常用的模块,image模块。

希望本文所述对大家的Python程序设计有所帮助。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python's Execution Model: Compiled, Interpreted, or Both?Python's Execution Model: Compiled, Interpreted, or Both?May 10, 2025 am 12:04 AM

Pythonisbothcompiledandinterpreted.WhenyourunaPythonscript,itisfirstcompiledintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).Thishybridapproachallowsforplatform-independentcodebutcanbeslowerthannativemachinecodeexecution.

Is Python executed line by line?Is Python executed line by line?May 10, 2025 am 12:03 AM

Python is not strictly line-by-line execution, but is optimized and conditional execution based on the interpreter mechanism. The interpreter converts the code to bytecode, executed by the PVM, and may precompile constant expressions or optimize loops. Understanding these mechanisms helps optimize code and improve efficiency.

What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment