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101 0 $aeng
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182   $cc$2rdamedia
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200 10$aHow to optimally sample and resample images $etheory and methods Using MATLAB /$fby Leonid Yaroslavsky
210  1$aSingapore :$cBentham Science Publishers Pte. Ltd.,$d[2020]
210  4$dĀ©2020
215   $a1 online resource (173 pages)
225 0 $aDigital Signal Processing in Experimental Research,$x2737-4645 ;$vVolume 3
311   $a981-14-7179-7 
330   $aHow to Optimally Sample and Resample Images: Theory and Methods Using MATLAB provides updated formulations of image sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, and also introduces interpolation error-free methods of image resampling. Readers will be informed about relevant principles and applications of image sampling with the help of MATLAB©. The information presented in the book, across 9 chapters, will help readers to understand processes that make analog to digital signal conversion efficient for modern imaging devices. K.
410  0$aDigital Signal Processing in Experimental Research
606   $aImage processing
606   $aInterpolation
615  0$aImage processing.
615  0$aInterpolation.
676   $a621.367
700   $aYaroslavsky$b Leonid$01522027
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910794495203321
996   $aHow to optimally sample and resample images$93820213
997   $aUNINA