ONLINE IMAGE PROCESSING BASED ON
APPLET AND JAI
(DEVELOPMENT AND APPLICATION)
BY
Y.SAHITYA SINDHU
BTECH
INFORMATION & COMMUNICATION TECHNOLOGY
9524159079
sin.sin.1991@gmail.com
sahityasindhu@ict.sastra.edu
SASTRA UNIVERSITY
Online image processing based on APPLET and JAI
(development and application)
AbstractThis article is all about the web based online image processing software
architecture making use of the advance image processing of the java applet and
JAI. We are facing many drawbacks with the existing image processing software in
the stand alone systems. It is detailed through introducing and analyzing the
programming development method of JAI advanced image processing technology
and Applet plug in implementation process. At the same time we also combine
the actual research work by applying the system to the low resolution remote
sensing image distributed processing system. Application results show that the
system has a feature of good implementation practically. It is also multi-platform
and secured which can fit various tasks of distributed image process.
Keywords- Online image processing; Java Applet; JAI
IntroductionThe development of image acquisition technology and increased demand for
graphics applications led was impetus to the development of image processing
technology and has a higher, newer request on Image processing system. Standalone centralized image processing system has been unable to meet the needs of
the development of image processing especially in sharing and treating large
amount. Distributed computing, networking technology such as distributed image
processing is the key to solve the problem. It has become the hotspot of current
research.
Web based architecture of distributed computing has become an important
direction. The business of logic Image Processing is different from ordinary Web
Systems. It has its own characteristics: Network client processing functions ‘light’
but not ‘simple’, it should not only have the basic properties such as showing and
scaling the image, but also must have a certain degree of image processing
functions. At the same time it should consider the system efficiency and
communication between the client and the server should also be reduced.
Therefore it should be a fat client which can provide a variety of image formats to
a unified data management and organization. At present, there is a lot of
Technology in construction of the fat client application, such as Flash technology,
ActiveX technology of Microsoft, java Applet little program of SUN, and so on.
Systems using these technologies have their own characteristics, suit to different
user needs. The Java applet has a good cross platform and security, is a good
select to build a good client application of a strong image processing logic.
Consider based on the above, the paper proposes an online image processing
software architecture based on Java Applet, detailed description and analysis of
JAI image processing programming development methodology, Applet plug-in
implementation process as well as aspects related to applications.
II. SYSTEM DESIGN
Online image processing software using Java Applet plug-in architecture, the core
of which is to build a plug-Applet, use JAI advanced image processing software
development kit which will transplant stand-alone image processing functions
into plug-ins, and begin online publication, provide image processing services.
System architecture is shown in fig 1
The architecture is a typical B / S structure, the Applet plug-ins which has image
processing functions is deployed in the Web server-side, and release web site to
outside. When users need image processing services, enter the appropriate
address through the browser, request to the server use network and HTTP
protocol. After the server received service requests, it responds to client. Client
can download Applet plug-code, and then activate the plug-ins using Java
Runtime Environment installed in client-side to form the main work area, provides
to users image processing services.
KEY TECHNICAL AND FUNCTIONAL IMPLEMENTATION
A.JAI Advanced Image Processing
JAI （ Java Advanced Imaging ） Advanced Image Processing in many companies
united by SUN, provide a typical Java extended API package based on Java 2D for
Image Processing has a characteristic of powerful, cross platform, security, etc.,
completely object-oriented image processing technology, and provides a good
framework for the expansion, provide functional support such as achieve a variety
of image formats for data management and organizational model, and improve
the basic operation of the image and image treatment. JAI is completely objectoriented API, Images and image processing operations is defined to object. Image
data has rendered Image type to store and display. Image operations are
described by Rendered Op, it’s a middle dot, Stored in a image processing and
related parameters which will really operate. And obtain examples by JAI class
static method Create. Parameter block object can store required parameters
during image operation. Figure 2 is code snippet of images combined with a
constant to each pixel.
B. Applet plug-in design and implementation
User image processing workbench is Applet plug-ins embedded in the Web page,
The UML static modeling design shown in Figure 3.
Figure 3 describes the UML design model Applet plug-in static relationships
between the main types. MDIPS class is the main class of Java applet program,
inherited from javax.swing. JApplet. The entire plug-ins model is mainly through
MDIPS class together JMenuBar class, DataTools class, ImageTools class,
WorkSpaceTree class, ImageEyesDisplay class and ImageDisplay class to achieve.
JMenuBar class is mainly used to manage plug-ins model’s menu option.
DataTools class and ImageTools class is both inherited from javax.swing.JToolBar
class, the former is read model operation to all kinds of image source, and to local
save the image result; The latter is the basic image operation, including roaming,
zooming and narrow and so on. DataTools class is linked with WorkSpaceTree
class, when there is data read will be passed to the Work SpaceTree class.
WorkSpaceTree class is inherited from javax.swing.JTreeclass, which is a project
tree, Implement the current project management. At the same time, il’s linked to
ImageEyesDisplay class, when the project tree changes visiting the category in
order to change the display of Eagle Eye. ImageDisplay class is the main data
model display class; ImageTools class is linked to it, when after operation, display
update by calling the type. ImageEyesDisplay class is double linked to
ImageDisplay class, one of the two sides’ changes, immediately notify the other to
show updates.
In the Applet plug-in the main work area is divided into five sections: menu bar,
tool bar, item manage area, EagleEye position and the main display area, Shown
in Figure 5.
Table 1 shows the implementation of the function
C. System security
Because network client uses a Java Applet, when in use need to be dynamically
downloaded to client machines on the network. In order to protect the security of
network client environment, Java uses the security mechanism of sandbox, when
processing device, to control all levels of information security by reading the
configuration file POLICY. By default, program based on Java Applet will not be
able to access local resources such as file data. So, we make security configuration
through the POLICY document security configuration as in table2, and the use of
digital signature technology to empower users to access local resources,
implement safe distributed image processing.
SYSTEM APPLICATIONBased on the actual research work, through adding network communication
module between the front Applet and the server, we apply the software to
distributed remote sensing image processing. Implementation of a Web-based
open system of low-resolution remote sensing image processing system: the front
is the implement Applet plugins, Server-side using JNI technology call various
kinds of advanced processing algorithms which are originally implemented by
C++. Figure4 is the code of implementation on JNI.
Figure 5 shows the results of contrast and color changing treatment to a Landsat7
image.
CONCLUDING REMARKS
Distributed image processing technology is the hotspot of current research, in
particular, Web-based architecture. This paper design and implement a Java
Applet plug-ins based online image processing system, and applying it to the
distributed remote sensing image processing system. Application results show
that the system has good usability, scalability, cross-platform and security
features. It is able to fit different needs of Distributed Image Processing Services.
At the same time, continue improving the client-side plug-ins, researching
suitable image processing server software, constructing a more high-performance
distributed image processing system, will be our next step in research work.
BIBLIOGRAPHY[1] SUN. Programming in Java Advanced Imaging Release
1.0.1[DB/OL], November 1999
[2] Foster I., Kesselman C.. The Grid: Blueprint for a New Computing
Infrastructure[J]. Morgan Kaufmann Publishers, San Francisco. 1999
312pp.
[3] Shyu M., Haruechaiyasak C., Chen S.. Category cluster discovery
from distributed WWW directories[J].Information Sciences.2003
18(4),181–197.
[4] MA Weifeng, WANG Weihong, CAI Jiamei,etc. Design and
Implementation of Remote Sensing Image Processing Based on
Grid[J]. Application and Engineering of Computer. 2004(24) pp.134136
[5] MA Weifeng, CEN Gang, LI Jun, SHEN Zhanfeng. Analysis on
High-powered Remote Sensing Image Processing and Spatial
Information Grid Modeling[J]. Computer Engineering.
2006.03/Vol32. No.5
[6] Weifeng MA, Jun LI, Zhiyi XU, ect.. Research on Distributed
Geocomputation Environment Adapting to Remotely Sensed Image
Processing. Proceedings of ICCSE 2007, pp.666-670
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