Download Astronomical Images Compression using Wavelets

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Astronomical Images Compression using
Wavelets
CHARITY WILLIAMS , Virginia State University
SARAH CONSTANTINE, South Carolina State University
TIFFANY YOUNG, Medgar Evers College
DR. KUZMAN ADZIEVSKI, TEAM LEADER
South Carolina State University, URIA 2002
INTRODUCTION
• What are wavelets
• Astronomical Image Compression
• Software used for image analysis
WAVELETS
• Wavelets are functions that satisfy certain
mathematical requirements and are used in
representing data or other functions.
• Wavelets are generated from one single
function or mother function.
• Two main wavelets-Haar
-Daubechies
HAAR
• The Haar wavelet is the simplest type of wavelet.
It is generated over the domain [0,1], where it is
equal to 1 from [0,1/2] and -1 from [1/2,1].
DAUBECHIES
• Wavelet that is more complicated than the
Haar wavelet.
FAWAV
• Fawav is a software used to compress
images.
• The purpose of image compression is to
reduce the volume of a particular image in
order to store or denoise.
• Compression can be obtained in Fawav by
altering the threshold, using Haar wavelets,
Coiflets, or Daubechie wavelets.
CHARITY.JPG
IRAF
• IRAF- Image Reduction Analysis Facility
• Applications- Compression/Decompression
Histogram Plot/Viewing
• Unix →physics%→iraf→data→pinwheel
• Compression:
/opt/bin/fcompress –s 200 pinwheel.fits
cp pinwheel.fits pin.fits
rm pinwheel.fits
/opt/bin/fdecompress pinwheel.fits.H
• Viewing – Launch IRAF (cl)
Images→imhist →histogram(xgterm &)
→imstat (max,min,sd,…)
tv →display→image(ds9 &)
Pinwheel.fits
High compression
Pinwheel.fits
Low compression
ASTRONOMICAL IMAGE
PROCESSING
• WHAT IS A FITS
FORMAT
• FITS HEADER
• HISTOGRAM
• IMAGE ANALYSIS
AIP CON’T
• FITS (Flexible Image Transport System)
evolved in 1980’s
• Header Files contains additional information
about the image. ex: who took the exposure,
and the type and size of telescope used.
• The histogram shows the different pixel
values found in the image and its frequency
AIP CON’T
• Cannot view the compressed (Pinwheel.fits.H)
• The image analysis consist of the following:
• Minimum pixel value – bottom range of the pixel
values
• Maximum – top range of the pixel value
• Mean – slightly greater than the sky pixel value
• Median – MN rows & columns/2 in the image has
•
greater pixel value
Mode – most frequent pixel value seen in an image
AIP CON’T
• Standard Deviation – is the measure of the
distribution of pixel values from the mean value
of the image
• These variables (mode, mean, median etc)
which are used in the analysis tells us how much
the decompressed image deviates from the
original image.
• Our main goal is to compressed an image without
loosing any valuable information.
AIPT CON’T
• Cross Histogram → allows you to compare the
relationship between the pixel values in two
separate images.
• Distance Tool → Measures the precise distance
and angle between star images.
Problems we will overcome!
• Finding compatible images to use for
each of the software.
• Compressing.
• Analyzing statistics.
Where there is no STRUGGLE there is no PROGRESS!
Acknowledgements
Dr. Adzievski
Dr. Walter
Dr. Smith