Studies of Iterated Transform Image Compression and Its Application to Color and DTED. PDF Download
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Languages : en
Pages : 39
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Book Description
A new classification technique based on archetypes can reduce encoding time and still maintain compression and fidelity. The use of different metrics has shown little differences in the final encoding quality thus implying that the use of the root mean square metric is preferred. Also presented are Digital Terrain Elevation Database (DTED) that are more accurate after using an iterated transform algorithm modified to encode the coastlines. The results compare favorably with an adaptive discrete cosine transformation (ADCT) and mean residual vector quantization algorithm. Additionally, results of two iterated transform algorithms for encoding 24-bit/pixel color images are presented. The first method transforms the red, green, blue (RGB) to the luminancechrominance representation before encoding, showing results similar to ADCT algorithms. The second method encodes RGB subimages directly using common transformations, and does not perform as consistently as the luminance- chrominance method. Digital Terrain Elevation Database (DTED), Archetypes, Image compression, Iterated transforms, Fractals.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 39
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Book Description
A new classification technique based on archetypes can reduce encoding time and still maintain compression and fidelity. The use of different metrics has shown little differences in the final encoding quality thus implying that the use of the root mean square metric is preferred. Also presented are Digital Terrain Elevation Database (DTED) that are more accurate after using an iterated transform algorithm modified to encode the coastlines. The results compare favorably with an adaptive discrete cosine transformation (ADCT) and mean residual vector quantization algorithm. Additionally, results of two iterated transform algorithms for encoding 24-bit/pixel color images are presented. The first method transforms the red, green, blue (RGB) to the luminancechrominance representation before encoding, showing results similar to ADCT algorithms. The second method encodes RGB subimages directly using common transformations, and does not perform as consistently as the luminance- chrominance method. Digital Terrain Elevation Database (DTED), Archetypes, Image compression, Iterated transforms, Fractals.
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Category :
Languages : en
Pages :
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Category : Aeronautics
Languages : en
Pages : 562
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Author: Yuval Fisher
Publisher: Springer Science & Business Media
ISBN: 1461224721
Category : Mathematics
Languages : en
Pages : 347
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Book Description
One half of the book is authored by Yuval Fisher himself, while articles from another 12 experts in the field present material from different points of view. The focus here is solely on fractal image encoding, with the aim of providing a working code that is usable in applications, while containing the complete details of how to encode and decode images. An indispensable "how to" guide, combining the very latest results in the field. Of interest to a very wide audience, ranging from experts in image processing to high school students.
Author: C Trico
Publisher: World Scientific
ISBN: 9814550574
Category :
Languages : en
Pages : 298
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Book Description
Fractal sets serve as excellent models in Physics, Chemistry, Biology and other fields. However, the actual applications of these fascinating models are often unknown even to specialists in fractal theories. The communication of the most recent results utilising fractal concepts in experimental and industrial engineering research was thus a major challenge discussed in the above conference.The resulting proceedings are organised around five main themes: Materials Processing, Flow, Natural Sciences, Signal and Image Analysis and Mathematical Methods. Almost 50 papers are included in this volume. Besides the classical topics, the book also introduces an important session on Fractal Signal and Image Analysis, a subject which is rapidly gaining recognition in computer science and engineering for its promising industrial applications.
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Category : Coding theory
Languages : en
Pages : 652
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Category : Signal processing
Languages : en
Pages : 924
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Category : Image processing
Languages : en
Pages : 656
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Category : Computer graphics
Languages : en
Pages : 302
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Book Description
Author: Savitri Bevinakoppa
Publisher: Springer Science & Business Media
ISBN: 9780792383222
Category : Computers
Languages : en
Pages : 234
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Book Description
Still Image Compression on Parallel Computer Architectures investigates the application of parallel-processing techniques to digital image compression. Digital image compression is used to reduce the number of bits required to store an image in computer memory and/or transmit it over a communication link. Over the past decade advancements in technology have spawned many applications of digital imaging, such as photo videotex, desktop publishing, graphics arts, color facsimile, newspaper wire phototransmission and medical imaging. For many other contemporary applications, such as distributed multimedia systems, rapid transmission of images is necessary. Dollar cost as well as time cost of transmission and storage tend to be directly proportional to the volume of data. Therefore, application of digital image compression techniques becomes necessary to minimize costs. A number of digital image compression algorithms have been developed and standardized. With the success of these algorithms, research effort is now directed towards improving implementation techniques. The Joint Photographic Experts Group (JPEG) and Motion Photographic Experts Group(MPEG) are international organizations which have developed digital image compression standards. Hardware (VLSI chips) which implement the JPEG image compression algorithm are available. Such hardware is specific to image compression only and cannot be used for other image processing applications. A flexible means of implementing digital image compression algorithms is still required. An obvious method of processing different imaging applications on general purpose hardware platforms is to develop software implementations. JPEG uses an 8 × 8 block of image samples as the basic element for compression. These blocks are processed sequentially. There is always the possibility of having similar blocks in a given image. If similar blocks in an image are located, then repeated compression of these blocks is not necessary. By locating similar blocks in the image, the speed of compression can be increased and the size of the compressed image can be reduced. Based on this concept an enhancement to the JPEG algorithm is proposed, called Bock Comparator Technique (BCT). Still Image Compression on Parallel Computer Architectures is designed for advanced students and practitioners of computer science. This comprehensive reference provides a foundation for understanding digital image compression techniques and parallel computer architectures.
