Image fusion is the progression of amalgamation
of information from a number of cataloged images exclusive
of the introduction of deformation. Image fusion is ready to
lessen the amount of data, maintain important information
and construct new image that is more appropriate for
additional processing tasks. High-resolution multispectral
images images can be formulated from a high-resolution
panchromatic (PAN) image and low-resolution multispectral
(MS) of remote sensed images using number of image fusion
schemes. Multisensory fusion is used to achieve high spatial
and spectral resolutions. It do so by merging images from two
sensors, one of which has high spatial resolution and the
other one has high spectral resolution in remote sensing
regions. Image fusion technique is also used to eradicate noise
from the images i.e. unwanted material which declines the
quality of an image. Image fusion is applicable in many areas
like remote sensing, computer vision, military purposes and
intelligent robots. The present paper analyses some of the
successful fusion levels such as pixel level, feature level and
decision level fusion. The paper also presents some of the
image fusion algorithms such as Average method, PCA
fusion, high pass filtering which are spatial domain methods
and they deal with the image pixels directly. The temporal
domain fusion methods include transformation like Discrete
Cosine Transform, Discrete wavelet transform. The methods
presented in the paper also have some influences and flaws.
Ramanjeet Kaur : working as an Assistant Professor in CGC-CEC
, Landran, Mohali , Punjab as an Assistant Professor in CSE
Department. She has done her M.tech in Computer Science &
Engineering. Her specification is in the field of Digital Image
Processing.
Manish Mahajan working : as an Associate Professor & HOD
(CSE) in CGC-COE , Landran, Mohali, Punjab . He has done his
M.tech in Computer Science & Engineering. His specification is in
the field of Digital Image Processing.
Shalini Singh : working as an Assistant Professor in CGC-CEC ,
Landran, Mohali, Punjab as an Assistant Professor in CSE
Department. She has done her M.tech in Computer Science &
Engineering. Her specification is in the field of Mobile Adhoc &
Networks.
Fusion Levels, Principal Component Analysis,
Intensity Hue Saturation, Multiscale transform, ANN, DCT
The project is Design and Implement for online data monitoring using Ethernet protocol and CortexM3.Data is displaying on web page we can accesses worldwide with Internet of things. And using Advanced Cortex M-3 Technology. The project had been successfully implemented. It can used for Industrial Automation, Home Automation and Security systems.
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