sparse image representation via combined transforms - Convex ...
sparse image representation via combined transforms - Convex ... sparse image representation via combined transforms - Convex ...
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List of Tables 3.1 Comparison of transforms and the image features that they are good at processing. The third column lists the order of computational complexity for their discrete fast algorithms. .......................... 26 3.2 DefinitionsoffourtypesofDCTs. ....................... 39 3.3 Number of multiplications and additions for various fast one-D DCT/IDCT algorithms. The number in {·}is the value when N is equal to 8. . . . . 42 3.4 Decomposition of covariance matrix that can be diagonalized by different typesofDCT. .................................. 50 6.1 Table of Running Times . . . .......................... 127 A.1 Percentages of edgelet coefficients being used in the reconstructions. . . . . 137 A.2 Order of edgelets within a square. . . ...................... 145 B.1 Pairsoftransformsandtheiradjoint...................... 160 xix
- Page 1 and 2: SPARSE IMAGE REPRESENTATION VIA COM
- Page 3: I certify that I have read this dis
- Page 7 and 8: To find a sparse image representati
- Page 9: Abstract We consider sparse image d
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- Page 14 and 15: 2.3 Discussion.....................
- Page 16 and 17: 6 Simulations 119 6.1 Dictionary...
- Page 21 and 22: List of Figures 2.1 Shannon’s sch
- Page 23 and 24: A.3 Edgelet transform of the wood g
- Page 25 and 26: Nomenclature Special sets N .......
- Page 27 and 28: List of Abbreviations BCR .........
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- Page 31 and 32: Chapter 2 Sparsity in Image Coding
- Page 33 and 34: 2.1. IMAGE CODING 5 INFORMATION SOU
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- Page 37 and 38: 2.1. IMAGE CODING 9 x ✲ T y ERROR
- Page 39 and 40: 2.1. IMAGE CODING 11 where Q stands
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