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1 | (36) |
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1 | (1) |
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2 | (9) |
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9 | (2) |
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Performance of Transforms |
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11 | (6) |
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11 | (2) |
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13 | (1) |
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13 | (2) |
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15 | (2) |
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17 | (13) |
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17 | (1) |
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Quantization and Encoding |
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18 | (4) |
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22 | (2) |
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24 | (1) |
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25 | (3) |
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28 | (2) |
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30 | (7) |
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34 | (3) |
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The Discrete Fourier Transform |
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37 | (42) |
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37 | (2) |
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39 | (1) |
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40 | (1) |
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41 | (4) |
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Selected Properties of the DFT |
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45 | (4) |
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47 | (2) |
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Real-Valued DFT-Based Transforms |
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49 | (6) |
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The Fast Fourier Transform |
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55 | (3) |
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The DFT in Coding Applications |
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58 | (2) |
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60 | (8) |
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Cosine-Modulated Filter Banks |
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63 | (3) |
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Complex DFT-Based Filter Banks |
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66 | (2) |
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68 | (4) |
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72 | (7) |
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74 | (5) |
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Comparametric Transforms for Transmitting Eye Tap Video with Picture Transfer Protocol (PTP) |
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79 | (38) |
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Introduction: Wearable Cybernetics |
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79 | (2) |
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Historical Overview of WearComp |
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80 | (1) |
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80 | (1) |
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The Edgertonian Image Sequence |
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81 | (2) |
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The Edgertonian versus Nyquist Thinking |
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81 | (1) |
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Frames versus Rows, Columns, and Pixels |
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82 | (1) |
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Picture Transfer Protocol (PTP) |
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83 | (1) |
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Best Case Imaging and Fear of Functionality |
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84 | (4) |
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Comparametric Image Sequence Analysis |
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88 | (6) |
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Camera, Eye, or Head Motion: Common Assumptions and Terminology |
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91 | (1) |
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92 | (2) |
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Framework: Comparameter Estimation and Optical Flow |
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94 | (5) |
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94 | (1) |
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Featureless Methods Based on Generalized Cross-Correlation |
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95 | (1) |
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Featureless Methods Based on Spatio-Temporal Derivatives |
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96 | (3) |
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Multiscale Projective Flow Comparameter Estimation |
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99 | (7) |
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Four Point Method for Relating Approximate Model to Exact Model |
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101 | (1) |
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Overview of the New Projective Flow Algorithm |
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102 | (1) |
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Multiscale Repetitive Implementation |
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103 | (1) |
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Exploiting Commutativity for Parameter Estimation |
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104 | (2) |
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106 | (3) |
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A Paradigm Reversal in Resolution Enhancement |
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106 | (1) |
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Increasing Resolution in the ``Pixel Sense'' |
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107 | (2) |
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109 | (2) |
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111 | (6) |
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112 | (5) |
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Discrete Cosine and Sine Transforms |
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117 | (80) |
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117 | (1) |
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The Family of DCTs and DSTs |
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118 | (4) |
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Definitions of DCTs and DSTs |
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118 | (1) |
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119 | (2) |
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121 | (1) |
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A Unified Fast Computation of DCTs and DSTs |
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122 | (24) |
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Definitions of Even-Odd Matrices |
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123 | (1) |
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DCT-11/DST-11 and DCT-III/DST-III Computation |
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124 | (5) |
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DCT-I and DST-I Computation |
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129 | (2) |
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DCT-IV/DST-IV Computation |
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131 | (3) |
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Implementation of the Unified Fast Computation of DCTs and DSTs |
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134 | (12) |
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The 2-D DCT/DST Universal Computational Structure |
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146 | (15) |
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The Fast Direct 2-D DCT/DST Computation |
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146 | (6) |
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Implementation of the Direct 2-D DCT/DST Computation |
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152 | (9) |
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161 | (30) |
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DCT-Based Image Compression/Decompression |
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162 | (4) |
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Data Structure for Compression/Decompression |
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166 | (2) |
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Setting the Quantization Table |
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168 | (2) |
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Standard Huffman Coding/Decoding Tables |
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170 | (2) |
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Compression of One Sub-Image Block |
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172 | (7) |
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Decompression of One Sub-Image Block |
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179 | (5) |
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Image Compression/Decompression |
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184 | (2) |
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Compression of Color Images |
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186 | (2) |
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Results of Image Compression |
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188 | (3) |
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191 | (6) |
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192 | (5) |
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Lapped Transforms for Image Compression |
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197 | (70) |
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197 | (7) |
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198 | (1) |
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198 | (1) |
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199 | (1) |
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Factorization of Discrete Transforms |
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200 | (1) |
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Discrete MIMO Linear Systems |
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201 | (2) |
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Block Transform as a MIMO System |
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203 | (1) |
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204 | (6) |
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Orthogonal Lapped Transforms |
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204 | (6) |
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Nonorthogonal Lapped Transforms |
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210 | (1) |
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210 | (3) |
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Factorization of Lapped Transforms |
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213 | (2) |
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Hierarchical Connection of LTs: An Introduction |
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215 | (7) |
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215 | (2) |
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Tree-Structured Hierarchical Lapped Transforms |
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217 | (2) |
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219 | (3) |
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222 | (11) |
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The Lapped Orthogonal Transform: LOT |
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222 | (1) |
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The Lapped Bi-Orthogonal Transform: LBT |
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223 | (3) |
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The Generalized LOT: GenLOT |
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226 | (4) |
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The General Factorization: GLBT |
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230 | (3) |
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The Fast Lapped Transforms: FLT |
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233 | (3) |
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236 | (4) |
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240 | (6) |
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241 | (2) |
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Recovering Distorted Samples |
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243 | (1) |
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244 | (2) |
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Design Issues for Compression |
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246 | (2) |
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Transform-Based Image Compression Systems |
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248 | (5) |
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249 | (1) |
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250 | (2) |
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252 | (1) |
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253 | (5) |
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253 | (2) |
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255 | (3) |
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258 | (9) |
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260 | (7) |
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Wavelet-Based Image Compression |
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267 | (46) |
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267 | (1) |
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268 | (6) |
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Two-Channel Perfect-Reconstruction Filter Bank |
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270 | (2) |
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Dyadic Wavelet Transform, Multiresolution Representation |
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272 | (1) |
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273 | (1) |
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Wavelet-Based Image Compression |
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274 | (39) |
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274 | (4) |
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278 | (7) |
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285 | (9) |
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294 | (5) |
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299 | (6) |
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305 | (1) |
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305 | (1) |
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Other Compression Algorithms |
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306 | (1) |
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Ringing Artifacts and Postprocessing Algorithms |
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306 | (1) |
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306 | (7) |
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Fractal-Based Image and Video Compression |
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313 | (34) |
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313 | (1) |
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Basic Properties of Fractals and Image Compression |
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314 | (2) |
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Contractive Affine Transforms, Iterated Function Systems, and Image Generation |
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316 | (2) |
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Image Compression Directly Based on the IFS Theory |
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318 | (3) |
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Image Compression Based on IFS Library |
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321 | (1) |
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Image Compression Based on Partitioned IFS |
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322 | (4) |
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323 | (1) |
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323 | (1) |
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A Class of Discrete Image Transformations |
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324 | (1) |
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Encoding and Decoding Procedures |
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325 | (1) |
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326 | (1) |
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Image Coding Using Quadtree Partitioned IFS (QPIFS) |
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326 | (7) |
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328 | (1) |
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329 | (2) |
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331 | (2) |
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Image Coding by Exploiting Scalability of Fractals |
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333 | (3) |
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Image Spatial Sub-Sampling |
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334 | (1) |
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Decoding to a Larger Image |
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334 | (1) |
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334 | (2) |
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Video Sequence Compression using Quadtree PIFS |
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336 | (5) |
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Definitions of Types of Range Blocks |
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336 | (2) |
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Encoding and Decoding Processes |
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338 | (2) |
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340 | (1) |
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340 | (1) |
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341 | (1) |
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Other Fractal-Based Image Compression Techniques |
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341 | (2) |
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Segmentation-Based Coding Using Fractal Dimension |
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341 | (1) |
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342 | (1) |
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343 | (4) |
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343 | (4) |
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Compression of Wavelet Transform Coefficients |
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347 | (32) |
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347 | (6) |
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Embedded Coefficient Coding |
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353 | (4) |
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Statistical Context Modeling of Embedded Bit Stream |
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357 | (2) |
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359 | (1) |
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360 | (2) |
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362 | (3) |
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Optimization of Context Quantization |
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365 | (2) |
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Dynamic Programming for Minimum Conditional Entropy |
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367 | (2) |
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Fast Algorithms for High-Order Context Modeling |
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369 | (4) |
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Context Formation via Convolution |
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370 | (1) |
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Shared Modeling Context for Signs and Textures |
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371 | (2) |
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373 | (1) |
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373 | (1) |
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374 | (1) |
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374 | (5) |
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375 | (4) |
Index |
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379 | |