LEADER 05479nam 2200661Ia 450 001 9910146052103321 005 20230617031346.0 010 $a1-280-27275-9 010 $a9786610272754 010 $a0-470-32215-2 010 $a0-471-65375-6 010 $a0-471-65374-8 035 $a(CKB)1000000000019104 035 $a(EBL)221321 035 $a(OCoLC)57585202 035 $a(SSID)ssj0000186351 035 $a(PQKBManifestationID)11197184 035 $a(PQKBTitleCode)TC0000186351 035 $a(PQKBWorkID)10216739 035 $a(PQKB)11227013 035 $a(MiAaPQ)EBC221321 035 $a(Au-PeEL)EBL221321 035 $a(CaPaEBR)ebr10114023 035 $a(CaONFJC)MIL27275 035 $a(EXLCZ)991000000000019104 100 $a20040512d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aJPEG2000 standard for image compression$b[electronic resource] $econcepts, algorithms and VLSI architectures /$fTinku Acharya, Ping-Sing Tsai 210 $aHoboken, N.J. ;$a[Chichester] $cWiley-Interscience$dc2005 215 $a1 online resource (294 p.) 300 $aDescription based upon print version of record. 311 $a0-471-48422-9 320 $aIncludes bibliographical references and index. 327 $aJPEG2000 Standard for Image Compression; Contents; Preface; 1 Introduction to Data Compression; 1.1 Introduction; 1.2 Why Compression?; 1.2.1 Advantages of Data Compression; 1.2.2 Disadvantages of Data Compression; 1.3 Information Theory Concepts; 1.3.1 Discrete Memoryless Model and Entropy; 1.3.2 Noiseless Source Coding Theorem; 1.3.3 Unique Decipherability; 1.4 Classification of Compression algorithms; 1.5 A Data Compression Model; 1.6 Compression Performance; 1.6.1 Compression Ratio and Bits per Sample; 1.6.2 Quality Metrics; 1.6.3 Coding Delay; 1.6.4 Coding Complexity 327 $a1.7 Overview of Image Compression1.8 Multimedia Data Compression Standards; 1.8.1 Still Image Coding Standard; 1.8.2 Video Coding Standards; 1.8.3 Audio Coding Standard; 1.8.4 Text Compression; 1.9 Summary; References; 2 Source Coding Algorithms; 2.1 Run-length Coding; 2.2 Huffman Coding; 2.2.1 Limitations of Huffman Coding; 2.2.2 Modified Huffman Coding; 2.3 Arithmetic Coding; 2.3.1 Encoding Algorithm; 2.3.2 Decoding Algorithm; 2.4 Binary Arithmetic Coding; 2.4.1 Implementation with Integer Mathematics; 2.4.2 The QM-Coder; 2.5 Ziv-Lempel Coding; 2.5.1 The LZ77 Algorithm 327 $a2.5.2 The LZ78 Algorithm2.5.3 The LZW Algorithm; 2.6 Summary; References; 3 JPEG: Still Image Compression Standard; 3.1 Introduction; 3.2 The JPEG Lossless Coding Algorithm; 3.3 Baseline JPEG Compression; 3.3.1 Color Space Conversion; 3.3.2 Source Image Data Arrangement; 3.3.3 The Baseline Compression Algorithm; 3.3.4 Discrete Cosine Transform; 3.3.5 Coding the DCT Coefficients; 3.3.6 Decompression Process in Baseline JPEG; 3.4 Progressive DCT-based Mode; 3.5 Hierarchical Mode; 3.6 Summary; References; 4 Introduction to Discrete Wavelet Transform; 4.1 Introduction; 4.2 Wavelet Transforms 327 $a4.2.1 Discrete Wavelet Transforms4.2.2 Concept of Multiresolution Analysis; 4.2.3 Implementation by Filters and the Pyramid Algorithm; 4.3 Extension to Two-Dimensional Signals; 4.4 Lifting Implementation of the Discrete Wavelet Transform; 4.4.1 Finite Impulse Response Filter and Z-transform; 4.4.2 Euclidean Algorithm for Laurent Polynomials; 4.4.3 Perfect Reconstruction and Polyphase Representation of Filters; 4.4.4 Lifting; 4.4.5 Data Dependency Diagram for Lifting Computation; 4.5 Why Do We Care About Lifting?; 4.6 Summary; References; 5 VLSI Architectures for Discrete Wavelet Transforms 327 $a5.1 Introduction5.2 A VLSI Architecture for the Convolution Approach; 5.2.1 Mapping the DWT in a Semi-Systolic Architecture; 5.2.2 Mapping the Inverse DWT in a Semi-Systolic Architecture; 5.2.3 Unified Architecture for DWT and Inverse DWT; 5.3 VLSI Architectures for Lifting-based DWT; 5.3.1 Mapping the Data Dependency Diagram in Pipeline Architectures; 5.3.2 Enhanced Pipeline Architecture by Folding; 5.3.3 Flipping Architecture; 5.3.4 A Register Allocation Scheme for Lifting; 5.3.5 A Recursive Architecture for Lifting; 5.3.6 A DSP-Type Architecture for Lifting 327 $a5.3.7 A Generalized and Highly Programmable Architecture for Lifting 330 $aJPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standard, using both the underlying theory and the principles behind the algorithms of the JPEG2000 standard for scalable image compression. It introduces the VLSI architectures and algorithms for implementation of the JPEG2000 standard in hardware (not available in the current literature), an important technology for a number of image processing applications and devices such as digital camera, color fax 606 $aJPEG (Image coding standard) 606 $aImage compression 615 0$aJPEG (Image coding standard) 615 0$aImage compression. 676 $a621.367 700 $aAcharya$b Tinku$0725531 701 $aTsai$b Ping-Sing$f1962-$0952681 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910146052103321 996 $aJPEG2000 standard for image compression$92153845 997 $aUNINA