LEADER 04122nam 22006015 450 001 9910299898503321 005 20200630044141.0 010 $a981-10-7272-8 024 7 $a10.1007/978-981-10-7272-7 035 $a(CKB)4100000001381554 035 $a(DE-He213)978-981-10-7272-7 035 $a(MiAaPQ)EBC5183829 035 $a(PPN)222225890 035 $a(EXLCZ)994100000001381554 100 $a20171205d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiscale Transforms with Application to Image Processing /$fby Aparna Vyas, Soohwan Yu, Joonki Paik 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (XIV, 254 p. 29 illus., 18 illus. in color.) 225 1 $aSignals and Communication Technology,$x1860-4862 300 $aIncludes index. 311 $a981-10-7271-X 327 $aI Introduction to Image Processing -- 1 Fundamentals of Digital Image Processing -- II Multiscale Transform -- 2 Fourier Analysis and Fourier Transform -- 3 Wavelets and Wavelet Transform -- 4 New Multiscale Constructions -- III Application of Multiscale transforms to Image Processing -- 5 Image Restoration -- 6 Image Enhancement.- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E.- Index. 330 $aThis book provides an introduction to image processing, an overview of the transforms which are most widely used in the field of image processing, and an introduction to the application of multiscale transforms in image processing.   The book is divided into three parts, with the first part offering the reader a basic introduction to image processing. The second part of the book starts with a chapter on Fourier analysis and Fourier transforms, wavelet analysis, and ends with a chapter on new multiscale transforms. The final part of the book deals with all of the most important applications of multiscale transforms in image processing.  The chapters consist of both tutorial and highly advanced material, and as such the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications. The technique of solving problems in the transform domain is common in applied mathematics and widely used in research and industry, but is a somewhat neglected subject within the undergraduate curriculum. It is hoped that faculty can use this book to create a course that can be offered early in the curriculum and fill this void. Also, the book is intended to be used as a reference manual for scientists who are engaged in image processing research, developers of image processing hardware and software systems, and practising engineers and scientists who use image processing as a tool in their applications. 410 0$aSignals and Communication Technology,$x1860-4862 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aOptical data processing 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aOptical data processing. 615 14$aSignal, Image and Speech Processing. 615 24$aImage Processing and Computer Vision. 676 $a621.367 700 $aVyas$b Aparna$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065302 702 $aYu$b Soohwan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPaik$b Joonki$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299898503321 996 $aMultiscale Transforms with Application to Image Processing$92544423 997 $aUNINA