This document presents an image processing project implemented in Java. It discusses hardware requirements including a Pentium IV processor, 256MB RAM, and Windows 2000. It describes using Java and NetBeans as the programming language and IDE. It outlines the main menu, file menu, transform menu, and effects menu. It provides examples of effects like greyimage, edge detection, invert, and horizontal stretch. It concludes with a thank you and lists additional modules like blur, zooming, and rotation.

3. PROJECT PRESENTATION
ON
IMAGE PROCESSING
TECHNIQUES
DONE BY,
SREEJITH .B (Reg No:08135010)

4. TABLE OF CONTENTS
INTRODUCTION
1. Abstract
HARDWARE REQUIREMENTS
1. Software requirements
2. Language description
SYSTEM ANALYSIS
1. Proposed system
WORKING STRATERGY

5. INTRODUCTION

6. ABSTRACT
ABST
Our project topic is “IMAGE PROCESSING
TECHNIQUES”. It is a desktop based application. This
project aims at creating various effects for processing
an image of format .jpg. Our objective is to give a
clear outlook about the various operations or effects
that can give to an image to change its original look.
We select this topic as our project by acquiring
motivations from various existing softwares such as
Windows Picture Management likewise…We use java
net beans as a supporting software while commencing
this project. The pixel grabber function in java helps to
grab each image into its pixel level.

7. HARDWARE REQUIREMENTS
In order to implement a new system the
choice of a processor with maximum possible
speed is made there should be sufficient
memory to store data and software tools for
efficient processing.
Processor : Pentium IV or above
Clock Speed : 800 MHz
Main Memory : 256 MB RAM
Disk Storage : 80 GB or above
Monitor : SVGA Color
Key Board : 108 Keys
Mouse : Logitech
Floppy Disk Drive : 3.5 floppy 1.44 MB
Compact Disk Drive: 52 x max

8. SOFTWARE REQUIREMENTS
Operating System : Windows 2000 or above
Front End : Java Net Beans 6.5

9. LANGUAGE DESCRIPTION
JAVA
JAVA
Java is the first and foremost an object-oriented
programming language. Java is a programming
language originally developed by James Gosling at
Sun Microsystems. The language derives much of its
syntax from C and C++ but has a simpler object model
and fewer low-level facilities. Java applications are
typically compiled to byte code (class file) that can run
on any Java Virtual Machine (JVM) regardless of
computer architecture.

10. Primary characteristics of Java:
The ease with which you can transition to Java from
C or C++ and Java’s object-oriented capabilities are
not only the advantages, but also Java has some
Other features such as:
•Simple
•Object-oriented
•Platform-independent
•Robust
•Secure
•Distributed
•Dynamic
•Portable
•Multithreaded

11. NET BEANS
Net Beans refers to both a platform framework for
Java desktop applications, and an integrated
development environment (IDE) for developing with
Java, JavaScript, PHP etc.The Net Beans IDE is
written in Java and runs everywhere where a JVM is
installed, including Windows, Mac OS, Linux, and
Solaris. A JDK is required for Java development
functionality, but is not required for development in
other programming languages. Net Beans IDE 6.5,
released in November 2008

12. Features
•CSS editor: with syntax highlighting, code completion
and preview.
•HTML editor with auto completion, syntax highlighting,
basic drag and drop CVS, Subversion,
•Mercurial integration: I use it e.g. to synchronize the
chapters of my current book with Oreille.
•JavaScript editor / debug support
•The ability to browse the file system and edit files. NB
can be used as a generic editor.
•Services: Great database viewer with paging, inline
editing etc.
•UML support (additional 7MB plug-in): really good tool
for creating overview diagrams etc.

13. SYSTEM ANALYSIS

14. PROPOSED SYSTEM
The proposed system is designed to meet almost
all effects/operations that can given to an image.
Here our proposed system entitled “IMAGE
H The proposed system is designed to meet almost all
PROCESSING TECHNIQUES”. The main
feature of this system is very user friendly and
user can get a look to all effects easily, and can
do all effects to a single image which is directed
to display below the effects name mentioned in
the menu page and cancel unnecessary effects
easily by using cancel button below the image.

15. Advantages of proposed system
•Simple and more user friendly
•More interactive
•It avoids time delay
•Reliability
•Speed
•Accuracy
•High data security

16. WORKING STRATERGY

17. Project
Menu Tree:
Project
Home
Main Menu File
Edit
Transforms
Effects
Help

18. File menu: About menu:
File
About Help
Open
Save About
Exit

19. Transform menu:
Transfor
Transform Horizontal Stretch
m
Horizontal Mirror
Vertical Stretch
Vertical Mirror
Rotate 180 deg
Rotate 45 deg
Shear

20. Transform
Zoom In 250%
Zoom In 300%
350%
400%
200%
Zoom Out 150%
100%
50%
Central
Crop

21. GreyImage
Invert
Edge Detect
RedEyeView
GreenEyeView
Effects
BlueEyeView
Blur
Brightness
Sharpen
Custom

22. MODULE 1
Invert
GrayImage
Edge Detect
Horizontal Stretch

23. Home Page:

24. MAIN MENU:

25. FILE MENU:

26. OPEN MENU:

27. LOADING AND SAVING AN IMAGE
When you select either open or save menu from the file
menu the corresponding dialogue box will appear. We
can browse to the decide picture using this dialogue box.
After selecting the picture we can insert that into our work
area by double clicking the picture or clicking the open
button in the dialogue box. In the save dialogue box
browse to the folder where we want to save our file name it
and click save button. Thus it will save in the
corresponding folder.

28. LOADING IMAGE:

29. EDIT MENU::

30. EFFECTS:

31. GREYIMAGE:
FGGGGGGG
Grayscale or grayscale digital image is an
image in which the value of each pixel is a single
sample, that is, it carries only intensity information.
Images of this sort, also known as black-and-white,
are composed exclusively of shades of gray,
varying from black at the weakest intensity to white
at the strongest.

32. GREYIMAGE:

33. EDGE DETECTION:
This filter detects the edges in a filter. For each pixel, It
looks a each channel, finds the local gradient and
replaces the channel by a value determined by the
gradient. Edges become white while flat areas become
black. Edge detection filters work essentially by looking
for
contrast in an image .

34. EDGEDETECT:

35. INVERT :
This filter will invert the alpha channel of an image. This is
not normally terribly useful, but has its uses on accession. There
are no parameters to this filter. This filter will invert all the pixels in
an image, converting it into its photographic negative. It's pretty
much the simplest possible filter: To invert a pixel we, simply
subtract each color component from 255. It takes apart the red,
green, and blue channels and then inverts them by subtracting
them from 255.These inverted values are packed back into a pixel
value and returned.

36. INVERT:

37. Horizontal Stretch
A horizontal stretching is the
stretching of the graph away from
the x-axis.
It use affine transformation

38. HORIZONTAL STRETCH:

39. About

40. Help

41. THANK YOU……

43. MODULES
Red Eye View
Brightness
Horizontal Mirror
Vertical Stretch
Shear
Central Crop

44. Red Eye View
Color filters are sometimes
classified according to their type of
spectral absorption.
The most useful thing to do with
this filter is to set two colors to -255
in order to strip them and see one
color component of an image.
Every color has an implicit alpha
value of 1.0 or an explicit one
provided in the constructor.

45. Red Eye View

46. Brightness
Brightness makes the image
lighter or darker .It Increase or
decrease the brightness of pixels.
Low brightness will result in dark
tones while high brightness will
result in lighter, pastel tones.

47. Darken

48. Brighten

49. Horizontal Mirror
 Placing the edge of a mirror on
the y-axis will form a reflection in the
y-axis.
This function is used to flip the
source image from left to right.

50. Horizontal Mirror

51. Vertical Stretch
A vertical stretching is the
stretching of the graph away from
the y-axis.
It use affine transformation

52. Vertical Stretch

53. Shear
wrrrrrrrrrr
Shearing slides one edge of an
image along the X or Y axis,
creating a parallelogram.
An X direction shear slides an
edge along the X axis, while a Y
direction shear slides an edge
along the Y axis.
Here the x shear is take place.

54. Shear

55. C - Crop
Crop means cutting images
down to size.
The size of the displayed image
has not been effected by the
“crop" operation. The actual image
itself has been cropped, but the
canvas on which the image is
displayed is still the same size as
the original canvas.

56. C - Crop

57. THANK YOU……

59. Image Processing Techniques.
Highly Flexible & Modified.
User Friendly.
Image processing is the art and science of manipulating
digital images.
Java language & Net beans Supporting S/w.
It is object oriented and can be used for both desktop
application.
Four viewing window: intro page, work area, about & help.
Various effects & transformations are implemented using
various algorithm at the pixel level of images.

60. MODULES
Blur
Green Eye View
Vertical Mirror
ZoomIn
ZoomOut
Done by,
Sreejith .B
REG:08135010

61. Green Eye View
Color filters are sometimes classified according to
their type of spectral absorption:
The most useful thing to do with this filter is to set two
colors to -255 in order to strip them and see one color
component of an image.
The color class is used encapsulate colors in the
default RGB color space or colors in arbitrary color
spaces identified by a color space.
RGB use 8 bit color representation.

62. Working Process:
Here for green filter, keep the green component as it is
225 and just subtract 255 from the red component &
blue component.
For green filter set RGB values as (1,255,1).
RGB color with the specified red, green & blue values
in the range (0 - 255).

63. Green Eye View

64. Blur
Blur is often used to reduce within an image
or to produce a less pixilated image.
Blur method is opposite of sharpen.
Blur method are based on low pass filter.
Blur other wise know as SMOOTH.

65. Working Process:
Blur is also usually based on a single value
presenting the image, such as the average
value of the image or the middle value.
To produce this blur effect, the filter takes the
average of the present pixel value and the
value of adjacent pixels and set the present
pixel to that average value.
Each pixel in the source image gets spread
over and mixed into surrounding pixels.

66. Blur

67. Vertical Mirror
Vertical Mirror is also referred to as creating a mirror
of a image & this function is used to flip the source
image from top to bottom.
The reflection transformation produces a mirror
image of the object with respect to a specified axis,
point or line.
If either the x-axis or y-axis is treated as a mirror, the
object has a mirror image or reflection.
Since the reflection of an object is located at the
same distance from the mirror axis the original image
from the axis.
This reflection is also know as GLIDE REFLECTION

68. Working Process:
The reflection operator geometrically transforms an
image such that image element i.e. pixel values,
located at position (x1,y1) in an original image are
reflected about a user-specified image axis or image
point into a new position (x2,y2) in a corresponding
output image.
A glide reflection is a transformation in the plane that
is the composition of a line reflection and a translation
through a line (a vector) parallel to that line of
reflection.

70. Vertical Mirror

71. Zoom
Zoom is a transformation that effectively scales down
or blows up a pixel map or a position of it with the
instruction.
Zoom can be classified into two:
 ZOOM IN
ZOOM OUT

72. Working Process:
To resizing an image arbitrarily the easiest way to do
it
is to calculate a factor for the difference between the
source and destination in both x and y axis, then use
that factor of figures out which pixel on the source
image maps to the color being placed on the
destination image.
The modified (zoomed image) should be the same
size as the original image; in a zoomed image the
specified portion of the original image now fills the
entire image window.

73. Zoom In

74. Zoom Out

75. THANK YOU……

77. MODULES
BlueEyeView
Sharpen
Custom
Rotate
About
Help

78. BlueEyeView
 Color filters are sometimes classified according t
their type of spectral absorption.
The most useful thing to do with this filter is to
set two colors to -255 in order to strip them and
see one color component of an image. For example,
for blue filter, keep the red component as it is and
just subtract 255 from the green component and red
component.
The Color class is used encapsulate colors in the
default RGB color space or colors in arbitrary color
spaces identified by a ColorSpace.

79. BlueEyeView

80. Sharpen
Subjective quality of an image indicating clear or
distinct reproduction of detail: associated with
resolution and contrast. Edge enhancement is an
extremely common technique used to make images
appear sharper.
To sharpen the image is very similar to finding
edges, add the original image, and the image after
the edge detection to each other, and the result will
be a new image where the edges are enhanced,
making it look sharper.
ConvolveOP convolution filter that applies a
given kernel operator to the image data for effect
such as sharpening.

81. Sharpen

82. Custom
We can do the same trick to make light rays
appear to come out of an object, only this time
making the shadow color white and using a zoom
blur instead of the ordinary blur, then adding the
result on top of the original.
Also custom effect reduces the clarity of an
image.
Also custom effect change the order of pixel
elements and effect is distortion

83. Custom

84. Rotate 45Deg
 Transform attribute in the Graphics2D context
to move, rotate, scale, and shear graphics
primitives when they are rendered.
The transform attribute is defined by an
instance of the AffineTransform class. An affine
transform is a transformation such as translate,
rotate, scale, or shear in which parallel lines
remain parallel even after being transformed.
The rotate operation rotates an image about a
given point by a given angle.

85. Rotate 45Deg

86. Rotate 180Deg
 Affine transformations
Rotating an Image
algorithm is used for
 Affine transformations is simply a change in
the
pixels positions or order.
 Affine transformations are one of the least
complicated operations that can be performed in
image processing
 It rorates image in 180Deg

87. Rotate180Deg

88. Rotate 270Deg
 Affine transformations algorithm is used for
Rotating an Image
Affine transformations are one of the least
complicated operations that can be performed in
image processing
A negative rotation value rotates the image
counter-clockwise, while a positive rotation value
rotates the image clockwise

89. Rotate270Deg

90. Rotate90Deg
The rotate operation rotates an image about a
given point by a given angle
 Also affine transform is used to rotate an
image in 90Deg
 The rotate operation rotates an image about a
given point by a given angle.

91. Rotate90Deg

92. About
 The about page is used to give information
about
Product Id
Product version
License type
Developers
Developing center and Details of the
project

93. About

94. Help

95. Help

96. THANK YOU……