Discrete time wavelet transforms (DWT), which produces
multi-scale image decomposition. By employing filtering and sub-sampling, a
result in the form of the decomposition image (for classical dyadic approach)
is produced, very effectively revealing data redundancy in several scales. A
coding principle is then applied in order to compress the data. It superior to
Fourier and DCT. It has Discrete Wavelet Transform (DWT) provides a multi
resolution image representation and has become one of the most important tools
in image analysis and coding over the last two decades.
This website is about MATLAB projects, Image processing projects, Audio processing projects and video processing projects. All projects are implemented in MATLAB. It is developed by Dr. A. R. Nichal from Adarsh Institute of Technology & Research Centre, Vita
Wednesday, December 18, 2013
Monday, December 16, 2013
MATLAB Implementation of Steganography (Simple Data Hiding Method).
AIM: Study & Implementation of Steganography (Simple Data Hiding Method).
THEORY:
Modern information hiding technology is
an important branch of information security. The redundancy of digital media,
as well as the characteristic of human visual system, makes it possible to hide
messages. Information hiding technology used in covert communication is named
as steganography. Steganography is the art
and science of invisible communication. Three competing aspects,
including capacity, security, and robustness, are usually considered in the
designing of information hiding schemes.
How to write own function in Simulink?
Simulink is an environment for simulation and
model-based design for dynamic and embedded systems. It provides an interactive
graphical environment and a customizable set of block libraries that let you
design, simulate, implement, and test a variety of time-varying systems,
including communications, controls, signal processing, video processing, and
image processing.
Simulink offers:
Friday, December 13, 2013
MATLAB Implementation of Face recognition with Principal Components Analysis (PCA).
Face recognition has been very
important issue in computer vision and pattern recognition over the last several decades.
One difficulty in face recognition is how to handle the variations in the expression, pose and illumination when only a limited number of training
samples are available. In this assignment Principal Component Analysis (PCA) is
proposed for facial expression detection.
Friday, December 6, 2013
How to convert .m file to .p file?
.p file stands for protected file. Matlab provides us one
facility i.e. conversion from .m to .p file. We can convert important functions
from .m to protected files. Matlab has a standard encryption key using that key
Matlab will convert .m to .p file. If we open that file with the help of
notepad or WordPad then we can’t get anything from that file.
Thursday, December 5, 2013
How to convert .m file to .exe?
1. First write your own program. For example write any application using Graphical user Interface (GUI).
2. Now go to command prompt window and write this command mbuild
-setup. After writing press enter. Then you will see the figure given
below.
Tuesday, December 3, 2013
How to handle variable from one function to other function in MATLAB GUI?
Handling variable
from one function to other function is also an important job. Instead of taking
variables once again from user, anyone can use saved variables by handling them
properly in function to function. This process will reduce code length in
MATLAB.
How to use List box in MATLAB GUI?
AIM: Study and Implementation of Toggle button, Radio button and
Checkbox in MATLAB GUI.
PROCEDURE:
1. For
opening GUI tool simply type following command in command window.
>> guide
|
This
command will open GUI toolbox.
Monday, December 2, 2013
How to use Toggle button, Radio button and Checkbox in MATLAB GUI?
AIM: Study and Implementation of Toggle button, Radio button and
Checkbox in MATLAB GUI.
PROCEDURE:
1. For
opening GUI tool simply type following command in command window.
>> guide
|
This
command will open GUI toolbox.
How to apply DCT to Color Image & Grayscale Image in MATLAB?
AIM: Study and Implementation of Discrete Cosine Transform of
given image.
THEORY:
Discrete
Cosine Transform (DCT) has been an important achievement in the field of image
compression. The DCT can be considered as a discrete time version of the
Fourier Cosine series. The discrete cosine transforms (DCT) is a technique for
converting a signal into elementary frequency components. The transformed array
obtained through DCT is also of the size N x N, same as that of the original
image block.
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