Image Enhancement using JAVA

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It is this very skill that projects help develop. This time around, we will be taking a look at some Image vision-based projects. Read on to find out how to implement the theoretical knowledge to real-life problems that you have gained in Computer Science.

Project Description

This project utilizes the concepts of image enhancement through a java platform. The principal purpose of this project is to generate and better, a filtering technique to effectively digitize images by reducing the background noise present in the picture. Digital image processing aims to better the quality of the image by using various digitization techniques, that help in improving clarity and reducing disturbances and interferences. Engineers utilize several methods to better the image, including filtering, smoothening, sharpening and segmentation. Through this project, we will take a look at the various filtering methods available and implement them to better the digitalization process of images.

Project Implementation

• Most digital images have an element of noise in them, which must be removed via filtering techniques.
• Image pixel values of neighboring pixels must be manipulated to create a sub-image of the actual picture. This image which is created by the algorithm works as a filter.
• Every image may be represented through a two-dimensional function, f (x, y), in which x and y are position coordinates.
• The pixel values or x, y coordinates make up the gray level of the image at the point.
• Initially, use spatial filtering or techniques for individual pixels to start the filtering.
• To perform spatial filtering, moving the mask from one point in the image to another, piece by piece.
• At each point, calculate new x and y values by using pre-defined associations.
• For an m*n mask, use m=2a+1 and n=2b+1, such that a and b are non-negative integers.
• To perform smoothing, the average of the neighboring pixels is used as averaging filters.
• While this project utilizes Java, the same can be implemented using any accepted programming language.

Usage of Filters

• Smoothening filters to reduce noise
• Blurring filters help in removing small details
• Blurring also assists in bridging small gaps
• Sharpening aids in making finer details
• Enhance image details
• Used in printing applications
• Medical Imaging
• Guidance and surveillance systems
• Industrial inspection and quality control use

Concepts Used

1. Image Processing
2. Video/Image Grabbing or Capture
3. Java Programming
4. Feature Extraction
5. Segmentation
6. Filtering
7. Noise Reduction

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• JAVA

• JAVA
• Filtering
• Image processing

Image Enhancement using JAVA