LEADER 02868nam 2200541 450 001 9910463788203321 005 20200520144314.0 010 $a3-95489-600-1 035 $a(CKB)2670000000534367 035 $a(EBL)1640381 035 $a(SSID)ssj0001215085 035 $a(PQKBManifestationID)11699400 035 $a(PQKBTitleCode)TC0001215085 035 $a(PQKBWorkID)11176976 035 $a(PQKB)10518244 035 $a(MiAaPQ)EBC1640381 035 $a(Au-PeEL)EBL1640381 035 $a(CaPaEBR)ebr10856520 035 $a(OCoLC)871779990 035 $a(EXLCZ)992670000000534367 100 $a20140419h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDoes an unconditional basic income provide higher effectiveness and efficiency? $ean analysis of the social security systems of Germany, Sweden and the United Kingdom /$fWolfgang Mu?ller 210 1$aHamburg, Germany :$cAnchor Academic Publishing,$d2014. 210 4$dİ2014 215 $a1 online resource (81 p.) 300 $aDescription based upon print version of record. 311 $a3-95489-100-X 320 $aIncludes bibliographical references. 327 $aDOES AN UNCONDITIONAL BASIC INCOME PROVIDE HIGHER EFFECTIVENESS AND EFFICIENCY?; ABSTRACT; LIST OF CONTENTS; LIST OF FIGURES; 1. INTRODUCTION; OBJECTIVE; OUTLINE; 2. METHOD AND SELECTION; 3. UNCONDITIONAL BASIC INCOME; DEFINITION; DESIRABILITY; 4. WELFARE TYPES; WELFARE REGIMES; MIXED ECONOMY OF WELFARE; 5. SOCIAL SECURITY; AIMS, OBJECTIVES AND FUNCTIONS; 6. EFFECTIVENESS; POVERTY ALLEVIATION; INCOME REPLACEMENT; COMPENSATION; REDISTRIBUTION; RISK PROTECTION; BEHAVIOURAL CHANGE; 7. EFFICIENCY; TARGET EFFICIENCY; ECONOMIC EFFICIENCY; ADMINISTRATIVE EFFICIENCY; 8. CONCLUSION; EXECUTIVE SUMMARY 327 $aREFERENCES 330 $aThe current social security systems in Europe have not been able to deal with increased traditional and new risks such as unemployment or work-life balance. One suggested solution to this problem has gained more popular and academic support in recent years: the idea of a universal, unconditional basic income (UBI). This study, therefore, examines whether and how UBI could support social security systems in the UK, Germany and Sweden in order to achieve their aims and fulfill their functions. Since effectiveness and efficiency describe the functionality of social security systems, the study 606 $aIncome$zGermany 608 $aElectronic books. 615 0$aIncome 676 $a339.20943 700 $aMu?ller$b Wolfgang$0433840 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910463788203321 996 $aDoes an unconditional basic income provide higher effectiveness and efficiency$91976754 997 $aUNINA LEADER 05265nam 2200637 a 450 001 9910145286603321 005 20170815111129.0 010 $a1-281-37393-1 010 $a9786611373931 010 $a0-470-23036-3 010 $a0-470-23035-5 035 $a(CKB)1000000000399136 035 $a(EBL)343655 035 $a(OCoLC)476158898 035 $a(SSID)ssj0000139015 035 $a(PQKBManifestationID)11146823 035 $a(PQKBTitleCode)TC0000139015 035 $a(PQKBWorkID)10104989 035 $a(PQKB)11424861 035 $a(MiAaPQ)EBC343655 035 $a(PPN)158468937 035 $a(EXLCZ)991000000000399136 100 $a20070629d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDigital color image processing$b[electronic resource] /$fAndreas Koschan, Mongi Abidi 210 $aHoboken, N.J. $cWiley-Interscience$dc2008 215 $a1 online resource (394 p.) 300 $aDescription based upon print version of record. 311 $a0-470-14708-3 320 $aIncludes bibliographical references and index. 327 $aDigital Color Image Processing; TABLE OF CONTENTS; Preface; Acknowledgment; 1 Introduction; 1.1 Goal and Content of this Book; 1.2 Terminology in Color Image Processing; 1.2.1 What Is a Digital Color Image?; 1.2.2 Derivative of a Color Image; 1.2.3 Color Edges; 1.2.4 Color Constancy; 1.2.5 Contrast of a Color Image; 1.2.6 Noise in Color Images; 1.2.7 Luminance, Illuminance, and Brightness; 1.3 Color Image Analysis in Practical Use; 1.3.1 Color Image Processing in Medical Applications; 1.3.2 Color Image Processing in Food Science and Agriculture 327 $a1.3.3 Color Image Processing in Industrial Manufacturing and Nondestructive Materials Testing1.3.4 Additional Applications of Color Image Processing; 1.3.5 Digital Video and Image Databases; 1.4 Further Reading; 1.5 References; 2 Eye and Color; 2.1 Physiology of Color Vision; 2.2 Receptoral Color Information; 2.3 Postreceptoral Color Information; 2.3.1 Neurophysiology of Retinal Ganglia Cells; 2.3.2 Reaction of Retinal Ganglia Cells to Colored Light Stimuli; 2.4 Cortical Color Information; 2.5 Color Constant Perception and Retinex Theory; 2.6 References; 3 Color Spaces and Color Distances 327 $a3.1 Standard Color System3.1.1 CIE Color Matching Functions; 3.1.2 Standard Color Values; 3.1.3 Chromaticity Diagrams; 3.1.4 MacAdam Ellipses; 3.2 Physics and Technics-Based Color Spaces; 3.2.1 RGB Color Spaces; 3.2.2 CMY(K) Color Space; 3.2.3 YIQ Color Space; 3.2.4 YUV Color Space; 3.2.5 YCBCR Color Space; 3.2.6 Kodak PhotoCD YC1C2 Color Space; 3.2.7 I1I2I3 Color Space; 3.3 Uniform Color Spaces; 3.3.1 CIELAB Color Space; 3.3.2 CIELUV Color Space; 3.4 Perception-Based Color Spaces; 3.4.1 HSI Color Space; 3.4.2 HSV Color Space; 3.4.3 Opponent Color Spaces; 3.5 Color Difference Formulas 327 $a3.5.1 Color Difference Formulas in the RGB Color Space3.5.2 Color Difference Formulas in the HSI Color Space; 3.5.3 Color Difference Formulas in the CIELAB and CIELUV Color Spaces; 3.6 Color Ordering Systems; 3.6.1 Munsell Color System; 3.6.2 Macbeth ColorChecker; 3.6.3 DIN Color Map; 3.7 Further Reading; 3.8 References; 4 Color Image Formation; 4.1 Technical Design of Electronic Color Cameras; 4.1.1 Image Sensors; 4.1.2 Multispectral Imaging Using Black-and-white Cameras with Color Filters; 4.1.3 One-Chip CCD Color Camera; 4.1.4 Three-Chip CCD Color Cameras; 4.1.5 Digital Cameras 327 $a4.2 Standard Color Filters and Standard Illuminants4.2.1 Standard Color Filters; 4.2.2 Standard Illuminants; 4.3 Photometric Sensor Model; 4.3.1 Attenuation, Clipping, and Blooming; 4.3.2 Chromatic Aberration; 4.3.3 Correction of the Chromatic Aberration; 4.4 Photometric and Colorimetric Calibration; 4.4.1 Nonlinearities of Camera Signals; 4.4.2 Measurement of Camera Linearity; 4.4.3 White Balance and Black-Level Determination; 4.4.4 Transformation into the Standard Color System XYZ; 4.5 Further Reading; 4.6 References; 5 Color Image Enhancement; 5.1 False Colors and Pseudocolors 327 $a5.2 Enhancement of Real Color Images 330 $aAn introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint< 606 $aImage processing$xDigital techniques 606 $aColor 615 0$aImage processing$xDigital techniques. 615 0$aColor. 676 $a621.36/7 676 $a621.367 700 $aKoschan$b Andreas$f1956-$0969138 701 $aAbidi$b Mongi A$0941428 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910145286603321 996 $aDigital color image processing$92201777 997 $aUNINA