DIGITAL IMAGE PROCESSING
A
Project Report
ON
Image Enrichment using Java
INSTITUTE OF TECHNOLOGY AND MANAGEMENT
AL-1, SECTOR-7, GIDA, GORAKHPUR(U.P)
SESSION 2013-14
SUBMITTED TO
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
INSTITUTE OF TECHNOLOGY & MANAGEMENT
Team Member
Amit Kumar Singh(Team Leader)
Dipesh Kumar
Surjit Pandey
Project Guide
Mr. Amit Kumar Kar
Project Co-ordinator
Mr. Rajeev Ranjan Kumar Tripathi
Mr. Shailesh Patel
Abstract
The field of Image Processing refers to processing digital images by means of digital computer. One of the main application areas in Digital Image Processing methods is to improve the pictorial information for human interpretation.
Most of the digital images contain noise. This can be removed by many enhancement techniques. Filtering is one of the enhancement techniques which is used to remove unwanted information (noise) from the image. It is also used for image sharpening and smoothening.
Some neighborhood operations work with the values of the image pixels in the neighborhood and the corresponding values of a sub image that has the same dimensions as the neighborhood. The sub image is called a “filter”.
The aim of this project is to demonstrate the filtering techniques by performing different operations such as smoothening, sharpening, removing the noise etc. This project has been developed using Java language because of its universal acceptance and easy understandability.
The Image Processing is based on client-server model. A client sends a request with image that is to be processed to the server computer. The server computer receives the image and process it according to client request and sends the result back to the client machine.
Keywords— Image Processing, Human Interpretation, Filtering, Smoothening
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INTRODUCTION
Interest in digital image processing methods stems from two principal application areas: improvement of pictorial information for human
Project Report
ON
Image Enrichment using Java
INSTITUTE OF TECHNOLOGY AND MANAGEMENT
AL-1, SECTOR-7, GIDA, GORAKHPUR(U.P)
SESSION 2013-14
SUBMITTED TO
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
INSTITUTE OF TECHNOLOGY & MANAGEMENT
Team Member
Amit Kumar Singh(Team Leader)
Dipesh Kumar
Surjit Pandey
Project Guide
Mr. Amit Kumar Kar
Project Co-ordinator
Mr. Rajeev Ranjan Kumar Tripathi
Mr. Shailesh Patel
Abstract
The field of Image Processing refers to processing digital images by means of digital computer. One of the main application areas in Digital Image Processing methods is to improve the pictorial information for human interpretation.
Most of the digital images contain noise. This can be removed by many enhancement techniques. Filtering is one of the enhancement techniques which is used to remove unwanted information (noise) from the image. It is also used for image sharpening and smoothening.
Some neighborhood operations work with the values of the image pixels in the neighborhood and the corresponding values of a sub image that has the same dimensions as the neighborhood. The sub image is called a “filter”.
The aim of this project is to demonstrate the filtering techniques by performing different operations such as smoothening, sharpening, removing the noise etc. This project has been developed using Java language because of its universal acceptance and easy understandability.
The Image Processing is based on client-server model. A client sends a request with image that is to be processed to the server computer. The server computer receives the image and process it according to client request and sends the result back to the client machine.
Keywords— Image Processing, Human Interpretation, Filtering, Smoothening
\
INTRODUCTION
Interest in digital image processing methods stems from two principal application areas: improvement of pictorial information for human
References: Gonzalez, Rafael; Steve Eddins (2008). "4". Digital Image Processing (2nd ed.). Mc Graw Hill. p. 163. Tinku Acharya and Ajoy K. Ray (2006). Image Processing - Principles and Applications. Wiley InterScience. Wilhelm Burger and Mark J. Burge (2007). Digital Image Processing: An Algorithmic Approach Using Java. Springer. ISBN 1-84628-379-5. R. Fisher, K (2002). Digital Image Processing. Springer. ISBN 3-540-67754-2. Milan Sonka, Vaclav Hlavac and Roger Boyle (1999). Image Processing, Analysis, and Machine Vision. PWS Publishing. Tim Morris (2004). Computer Vision and Image Processing. Palgrave Macmillan.