Python

[seminar class]

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Abstract:
Image processing is technique which involves different operation that can be performed on image. Image processing plays vital role in photography, computer science and many other fields. This project is mainly concerned with basic operations on image. So that user can get required visual apperance.
Image Processor Using Python Library

Miss. Sumati Sanjeev Patil. W.C.E.Sangli.
Miss. Sharayu Kantilal Moholkar. W.C.E.Sangli.
Image processing is the use of computer algorithm to perform, improve or change some quality of image. Now a days, it is important in different fields.
The Python Image Processing Libarary adds image processing capabilities to the Python Interpreter. This library provides extensive file format , an efficient internal representation and fairly powerful image processing tools. Actually the Image Library designed for fast access.The Python Image Library is ideal for image archeival and batch processing application.
Here our project is providing an image processing tool through which user can give desired effects to an image. It accepts input via mouse and keyboard and give output on screen. So just one click by mouse,you will get the image with expected result.
INTRODUCTION:
Image processing is one form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.
Image processing modifies pictures to improve them (enhancement, restoration), extract information (analysis, recognition), and change their structure (composition, image editing). Images can be processed by optical, photographic, and electronic means, but image processing using digital computers is the most common method because digital methods are fast, flexible, and precise.
In this project we are providing different image processing tool with GUI so it makes easy for user to give desired effects to image. Here we have used Python Image Processing Library. Python was invented by Python, Guido van Rossum Python is a interpreted , interactive,dynamic object-oriented programming language that can be used for many kinds of software development. It offers strong support for integration with other languages and tools, comes with extensive standard libraries, and can be learned in a few days. Many Python programmers report substantial productivity gains and feel the language encourages the development of higher quality, more maintainable code. Python runs on Windows, Linux/Unix, Mac OS X, OS/2, Amiga, Palm Handhelds, and Nokia mobile phones. Python has also been ported to the Java and .NET virtual machines.
The language comes with a large standard library that covers areas such as string processing (regular expressions, Unicode, calculating differences between files), Internet protocols (HTTP, FTP, SMTP, XML-RPC, POP, IMAP, CGI programming), software engineering (unit testing, logging, profiling, parsing Python code), and operating system interfaces (system calls, filesystems, TCP/IP sockets)
Probably tens of thousands of users, though it's difficult to obtain an exact count decided to use the language Python.
Scope:
Image processing is blooming technology. Image processing has lot of application in different fields like medical, computer science etc. In this project we have implemented some of the image processing operations which will help the user to understand the concept of image processing. Therefore the scope of this and such projects is increasing.
Objectives:
1. The purpose of this project is to allow users to explore how digitized images can be processed using computer software.
2. The user will understand the practical and real world application of image processing and image enhancement
3. GUI provides better interaction between user & system.
4. The user can manipulate the image with desired look.
Implementation:
This project uses Python Image Processing Library (PIL). The Python Imaging Library adds image processing capabilities to Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.The Python Imaging Library is ideal for image archival and batch processing applications.The current version identifies and reads a large number of formats. The current release includes TkPhotoImage and BitmapImage interfaces, that can be used with PythonWin and other Windows-based toolkits. Many other Graphics User Interface (GUI) toolkits come with some kind of PIL support. There's a histogram method allowing you to pull some statistics out of an image. This can be used for global statistical analysis.
The GUI uses TKinter module of PIL. The Tkinter module ("Tk interface") is the standard Python interface to the Tk GUI toolkit from Scriptics (formerly developed by Sun Labs).Both Tk and Tkinter are available on most Unix platforms, as well as on Windows and Macintosh systems. Starting with the 8.0 release, Tk offers native look and feel on all platforms. Tkinter consists of a number of modules. GUI has made computers much easier to work with them.
By using Python Image Processing Library we can give different effects to images like inversion, cropping, pasting rotating image, flipping image using different methods ,converting image to different modes ,image filtering, image enhancement, drawing different geometrical shapes on image, taking screen shots, converting image to mirror image, posterized , solarized image, gray scale image, black and white image ,expanding equalizing deforming colorizing, fitting image in frame, brightening, sharpening, darkening the image etc.