Download Image Processor Using Python Library Project Report

Image processing Phyton Project 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.

Image processing is a technique which involves different operation that can be performed on the image. Image processing plays a vital role in photography, computer science, and many other fields. 

Main concern(s) in the project: 

This project is mainly concerned with basic operations on the image. So that user can get required a visual appearance. Image processing is the use of computer algorithm to perform, improve or change some quality of the image. Now a day, it is important in different fields. 

The Python Image Processing Library 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 archival 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 gives output on the screen. 

So, just one click by mouse, you will get the image with the expected result. In this project, we are providing different image processing tool with GUI so it makes easy for the user to give desired effects to the image. Image processing is booming technology.  

Conclusion based on applications: 

Image processing has the 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 project is increasing. 

The purpose of this project is to allow users to explore how digitized images can be processed using computer software.