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Author: Lisa M. Marvel Publisher: ISBN: 9781423570844 Category : Languages : en Pages : 98
Book Description
In the effort to digitize the battlefield, one of the most difficult capabilities to provide is the reliable transmission of imagery across the data links available. The most severe obstacles occur at low echelons, where the communication link is provided by combat net radios. The low-bandwidth, noisy nature of this physical channel represents the most serious challenge to implementation of the digital battlefield of the future. These channels make the compression of any imagery a requirement for timely transmission. In this paper, we explore the effects of noise on a variety of image compression techniques - namely, fractal, wavelet, DPCM, and the most recent compression standard for still imagery, JPEG version 6. Methods for minimizing the effects of the noisy channel on algorithm performance are also considered.
Author: Lisa M. Marvel Publisher: ISBN: 9781423570844 Category : Languages : en Pages : 98
Book Description
In the effort to digitize the battlefield, one of the most difficult capabilities to provide is the reliable transmission of imagery across the data links available. The most severe obstacles occur at low echelons, where the communication link is provided by combat net radios. The low-bandwidth, noisy nature of this physical channel represents the most serious challenge to implementation of the digital battlefield of the future. These channels make the compression of any imagery a requirement for timely transmission. In this paper, we explore the effects of noise on a variety of image compression techniques - namely, fractal, wavelet, DPCM, and the most recent compression standard for still imagery, JPEG version 6. Methods for minimizing the effects of the noisy channel on algorithm performance are also considered.
Author: Madhuri A. Joshi Publisher: CRC Press ISBN: 148222822X Category : Computers Languages : en Pages : 242
Book Description
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data. Image and Video Compression: Fundamentals, Techniques, and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students, researchers, and practicing engineers, the book presents both basic principles and real practical applications. In an accessible way, the book covers basic schemes for image and video compression, including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.
Author: Shivanand S Gornale Publisher: Independent Author ISBN: 9781805253686 Category : Education Languages : en Pages : 0
Book Description
In today's digital world, images are often subjected to noise due to various factors such as low lighting, camera sensors, or image compression. This noise can greatly reduce the quality and clarity of the image, making it difficult to interpret or use for various applications. Therefore, enhancing noisy images has become an important topic of research. One approach to this problem is the use of multi-wavelet compression techniques. These techniques employ a combination of wavelet transformations to compress and reconstruct the image while simultaneously removing noise. Multi-wavelet compression techniques are particularly effective in reducing noise without losing image detail, resulting in a clearer and more accurate image. The effectiveness of these techniques has been demonstrated in various applications, such as medical imaging, remote sensing, and surveillance. Additionally, they can be used to enhance images captured in low-light environments or with low-quality sensors. In summary, multi-wavelet compression techniques provide a powerful tool for enhancing noisy images and improving their quality and clarity for a wide range of applications.
Author: Hans-Peter Seidel Publisher: Springer ISBN: 3540356398 Category : Computers Languages : en Pages : 788
Book Description
This is the refereed proceedings of the 24th Computer Graphics International Conference, CGI 2006. The 38 revised full papers and 37 revised short papers presented were carefully reviewed. The papers are organized in topical sections on rendering and texture, efficient modeling and deformation, digital geometry processing, shape matching and shape analysis, face, virtual reality, motion and image, as well as CAGD.
Author: K K Shukla Publisher: Springer Science & Business Media ISBN: 1447122186 Category : Computers Languages : en Pages : 98
Book Description
Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possible with lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compression algorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment.
Author: Majid Rabbani Publisher: SPIE Press ISBN: 9780819406484 Category : Computers Languages : en Pages : 248
Book Description
In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.
Author: Mohammad El-Ghoboushi Publisher: GRIN Verlag ISBN: 3656932832 Category : Computers Languages : en Pages : 85
Book Description
Master's Thesis from the year 2014 in the subject Computer Science - Software, , course: Image Processing, language: English, abstract: In this thesis various methods for lossless compression of source image data are analyzed and discussed. The main focus in this work is lossless compression algorithms based on context modeling using tree structure. We are going to compare CALIC, GCT-I algorithms to the JPEG2000 standard algorithm which will be considered the reference of comparison. This work includes research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram which may lead to improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. As when any pixel to be encoded has a different grey level than any of the neighboring pixels, CALIC triggers an escape sequence that switches the algorithm from binary mode to continuous-tone mode. Which means in this case the pixel will be treated as if it was in continuous-tone region. This minor modification should improve CALIC performance in binary images. Finally, we are going to discuss the GCT-I on medical images and compare results to the JPEG2000 standard.
Author: S K Shukla Publisher: Springer ISBN: 9781447122197 Category : Computers Languages : en Pages : 89
Book Description
Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possible with lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compression algorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment.
Author: Lisa M. Marvel
Author: Lisa M. Marvel
Author: Madhuri A. Joshi
Author: Shivanand S Gornale
Author: Hans-Peter Seidel
Author: K K Shukla
Author: Tuyet-Trang Lam
Author: Majid Rabbani
Author: Mohammad El-Ghoboushi
Author: S K Shukla
Author: