Books about Jpeg (found 115 titles)

JPEG XR

High Quality Content by WIKIPEDIA articles! JPEG XR is a still-image compression standard and file format for continuous tone photographic images, based on technology originally developed and patented by Microsoft as a part of the Windows Media family. It supports both lossy and lossless compression, and is the preferred image format for Ecma-388 Open XML Paper Specification documents. Support for file format is available as part of Windows Imaging Component, .NET Framework, and Windows Vista/Windows 7.

An Efficient Implementation of High-Speed JPEG2000 Encoder/Decoder: ALGORITHMS, SPECIFICATIONS, DESIGN SPACE EXPLORATION

This book presents a complete and up-to-date description of an efficient FPGA implementation of high-speed JPEG2000 using formal design methodologies namely SpecC and A3, in a systematic and clear manner. JPEG2000 proposes a large set of advanced features for today's internet and multimedia applications. At the heart of JPEG2000 are two complex DSP algorithms: Discrete Wavelet Transform (DWT) and Embedded Block Coding with Optmized Truncation (EBCOT). Both algorithms are complex, compute intensive and very difficult to optimize in software implementation for real-time imaging and multimedia applications. A hardware implementation brings a solution to this complexity for real-time applications. This book proposes flexible and efficient architectures for DWT, matching arithmetic coder (MQ coder) and EBCOT units of the JPEG2000 system. The implemented parallel structure increases throughput off the Tier-1 (EBCOT and MQC) and DWT by factors of 301 and 164 cycles respectively. Execution results from software only and FPGA implemented JPEG2000 is compared and analyzed.

Compression Algorithms: Lossless Compression Algorithms, Lossy Compression Algorithms, Huffman Coding, Lossless Data Compression, Jpeg

Purchase includes free access to book updates online and a free trial membership in the publisher's book club where you can select from more than a million books without charge. Chapters: Lossless Compression Algorithms, Lossy Compression Algorithms, Huffman Coding, Lossless Data Compression, Jpeg, Arithmetic Coding, Run-Length Encoding, Lempel-ziv-welch, Entropy Encoding, Vorbis, Deflate, Burrows-wheeler Transform, Fractal Compression, Shannon-fano Coding, Wavelet Compression, Linear Predictive Coding, Lz77 and Lz78, Vector Quantization, Packbits, Bzip2, Fibonacci Coding, Elias Gamma Coding, Prefix Code, Transform Coding, Vocoder, Elias Delta Coding, Range Encoding, Companding, Golomb Coding, Delta Encoding, Advanced Audio Coding, Mpeg-4 Part 3, Jpeg Xr, Paq, Adx, Lossless Jpeg, Lempel-Ziv-Markov Chain Algorithm, S3 Texture Compression, Dynamic Markov Compression, Universal Code, Jbig2, Variable-Length Code, Package-Merge Algorithm, Block Truncation Coding, Truncated Binary Encoding, Move-To-Front Transform, Prediction by Partial Matching, Embedded Zerotrees of Wavelet Transforms, Mrsid, Adam7 Algorithm, Adaptive Huffman Coding, Aac-Ld, Felics, Elias Omega Coding, Canonical Huffman Code, 3dc, Lzx, Sheervideo, Line Spectral Pairs, Lzwl, Huffyuv, Negafibonacci Coding, Lempel-Ziv-Storer-Szymanski, Freearc, Unary Coding, Lempel-Ziv-Oberhumer, Context-Adaptive Binary Arithmetic Coding, Shannon-Fano-Elias Coding, Incremental Encoding, Parametric Stereo, Statistical Lempel Ziv, Http Compression, Lagarith, Exponential-Golomb Coding, Incompressible String, Sequitur Algorithm, Chain Code, Levenshtein Coding, Byte Pair Encoding, Recursive Indexing, Context-Adaptive Variable-Length Coding, Context Tree Weighting, Microsoft Video 1, Msu Lossless Video Codec, Wavelet Scalar Quantization, Lzrw, Ccsds 122.0-B-1, Log Area Ratios, Reduced Offset Lempel Ziv, Algorithm Bstw, Lzjb, Quad, Modified Huffman Coding. Excerpt: In computing, JPEG (prono... More: http://booksllc.net/?id=16009

Detecting Information Hidden in JPEG Images: An investigation of machine learning methods for image steganalysis

This book describes using artificial neural networks as a potential approach for the steganalysis of JPEG images. The features that would be used by the detection algorithm have been previously suggested in various literature. These have given the best published results. The features are discussed in detail in the book. However, most earlier approaches have used SVMs for the detection process, while the proposed approach is based on using neural networks instead. Several experiments were conducted while researching for this book to see if the number of features required for adequate detection accuracy can be reduced without impacting the accuracy. The results from reduced feature sets are benchmarked according to the detection accuracy that was achieved as well as the time taken for the extraction of those particular features. A point to note is that the discusses the problem of detecting messages hidden in JPEG images, rather than actually recovering the hidden messages.

Wavelets: Jpeg 2000, Wavelet Compression, Wavelet, Discrete Wavelet Transform, Multigrid Method, Legendre Wavelet, Icer, Mathieu Wavelet

Purchase includes free access to book updates online and a free trial membership in the publisher's book club where you can select from more than a million books without charge. Chapters: Jpeg 2000, Wavelet Compression, Wavelet, Discrete Wavelet Transform, Multigrid Method, Legendre Wavelet, Icer, Mathieu Wavelet, Prolate Spheroidal Wave Functions, Polyphase Matrix, Refinable Function, Complex Wavelet Transform, Fast Wavelet Transform, Generalized Lifting, Transfer Matrix, Lifting Scheme, Harmonic Wavelet Transform, Embedded Zerotrees of Wavelet Transforms, Multiresolution Analysis, Ali Akansu, Coiflet, Filter Bank, Curvelet, Wavelet Series, Dual Wavelet, Cascade Algorithm, Second Generation Wavelet Transform, Stationary Wavelet Transform, Gabor Atom, Wavelet Packet Decomposition, Bandelet, Pixlet, List of Wavelet-Related Transforms, Contourlet, Set Partitioning in Hierarchical Trees, Wavelet Modulation, Modified Morlet Wavelet, Scaleogram, Dynamic Link Matching. Excerpt: Ali N. Akansu is a Turkish American scientist best known for his contributions to the theory and applications of sub-band and wavelet transforms .Biography Akansu received his B.S. degree from the Istanbul Technical University , Turkey, in 1980, his M.S. and Ph.D degrees from the Polytechnic University , Brooklyn, New York, in 1983 and 1987, respectively, all in Electrical Engineering. Since 1987, he has been with the New Jersey Institute of Technology where he is a Professor of Electrical

Lossy Compression Algorithms: Jpeg, Lossy Compression, Vorbis, Fractal Compression, Wavelet Compression, Linear Predictive Coding

Purchase includes free access to book updates online and a free trial membership in the publisher's book club where you can select from more than a million books without charge. Chapters: Jpeg, Lossy Compression, Vorbis, Fractal Compression, Wavelet Compression, Linear Predictive Coding, Vector Quantization, Transform Coding, Vocoder, Companding, Advanced Audio Coding, Mpeg-4 Part 3, Jpeg Xr, Adx, S3 Texture Compression, Jbig2, Block Truncation Coding, Mrsid, Aac-Ld, Quantization, Felics, 3dc, Line Spectral Pairs, Jbig, Parametric Stereo, Microsoft Video 1, Wavelet Scalar Quantization, Log Area Ratios. Excerpt: 3Dc (FourCC ATI2), also known as DXN, is a lossy data compression algorithm for normal maps invented and first implemented by ATI . It builds upon the earlier DXT5 algorithm and is an open standard . 3Dc is now implemented by both ATI and NVIDIA .Target Application The target application, normal mapping, is an extension of bump mapping that simulates lighting on geometric surfaces by reading surface normals from a rectilinear grid analogous to a texture map - giving simple models the impression of increased complexity. This additional channel however increases the load on the graphics system's memory bandwidth. Pre-existing lossy compression algorithms implemented on consumer 3d hardware lacked the precision necessary for reproducing normal maps without excessive visible artefacts, justifying the development of 3Dc.Although 3Dc was formally introduced with the ATI x800 series cards, there is also an S3TC compatible version planned for the older R3xx series, and cards from other companies. The quality and compression will not be as good, but the visual errors will still be significantly less than offered by standard S3TC.Algorithm Surface normals are three dimensional vectors of unit length. Because of the length constraint only two elements of any normal need to be stored. The input is therefore an array of two dimensional values.Compression is performed ...

JPEG: Webster's Timeline History, 1989 - 2007

Webster's bibliographic and event-based timelines are comprehensive in scope, covering virtually all topics, geographic locations and people. They do so from a linguistic point of view, and in the case of this book, the focus is on "JPEG," including when used in literature (e.g. all authors that might have JPEG in their name). As such, this book represents the largest compilation of timeline events associated with JPEG when it is used in proper noun form. Webster's timelines cover bibliographic citations, patented inventions, as well as non-conventional and alternative meanings which capture ambiguities in usage. These furthermore cover all parts of speech (possessive, institutional usage, geographic usage) and contexts, including pop culture, the arts, social sciences (linguistics, history, geography, economics, sociology, political science), business, computer science, literature, law, medicine, psychology, mathematics, chemistry, physics, biology and other physical sciences. This "data dump" results in a comprehensive set of entries for a bibliographic and/or event-based timeline on the proper name JPEG, since editorial decisions to include or exclude events is purely a linguistic process. The resulting entries are used under license or with permission, used under "fair use" conditions, used in agreement with the original authors, or are in the public domain.

High Dynamic Range File Formats: Tagged Image File Format, Openexr, High Dynamic Range Imaging, Jpeg Xr, Fits, Scrgb, Logluv Tiff, Hdri

Purchase includes free access to book updates online and a free trial membership in the publisher's book club where you can select from more than a million books without charge. Chapters: Tagged Image File Format, Openexr, High Dynamic Range Imaging, Jpeg Xr, Fits, Scrgb, Logluv Tiff, Hdri, Rgbe Image Format, Jpeg-Hdr, Bef. Excerpt: BEF is an HDR (High Dynamic Range ) image format developed by Unified Color. It is supported in HDR PhotoStudio , an advanced HDR imaging application, as well as via an Adobe Photoshop image format plug-in. The BEF format can archive image data with any dynamic range, full human color range, and a quality setting directly tied to color data precision (the used techniques ties it with JND just noticeable difference parameter). The BEF compression ratios are claimed to be comparable with those achieved by JPEG compression. See also (online edition) A hyperlinked version of this chapter is at Filename extension : .fits FITS or Flexible Image Transport System is a digital file format used to store, transmit, and manipulate scientific and other images. FITS is the most commonly used digital file format in astronomy . Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. The FITS format was first standardized in 1981 ; it has evolved gradually since then, and the most recent version (3.0) was standardized in 2008. FITS was designed with an eye towards long-term archival storage, and the maxim once FITS, always FITS represents the requirement that developments to the format must not render invalid existing files using older versions. A major feature of the FITS format is that image metadata is stored in a human readable ASCII header, so that an interested user can examine the headers to investigate a file of unknown provenance. Each FITS file consists of one or more headers containing...

La fe del grafiti / The Faith of Graffiti (451.Jpeg) (Spanish Edition)

Raw Image Format: Bitmap Graphics Editor, TIFF, JPEG, Camera Image File Format, Digital Negative, Orf Format

High Quality Content by WIKIPEDIA articles! A camera raw image file contains minimally processed data from the image sensor of either a digital camera, image or motion picture film scanner. Raw files are so named because they are not yet processed and therefore are not ready to be printed or edited with a bitmap graphics editor. Normally, the image is processed by a raw converter in a wide-gamut internal colorspace where precise adjustments can be made before conversion to a "positive" file format such as TIFF or JPEG for storage, printing, or further manipulation, which often encodes the image in a device-dependent colorspace. These images are often described as "RAW image files" based on the erroneous belief that they represent a single file format. In fact there are dozens if not hundreds of raw image formats in use by different models of digital equipment (like cameras or film scanners).

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