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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