Fractal Image Compression: Better performance of Fractal compression, approximate to the original at higher compression ratios - Couverture souple

Kumar, B. P. Santosh

 
9783659757662: Fractal Image Compression: Better performance of Fractal compression, approximate to the original at higher compression ratios
Couverture souple
ISBN 10 : 3659757667 ISBN 13 : 9783659757662
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

Fractal image presents both the mathematical ideas and the practical techniques involved in compressing images by means of fractals. With claims of compression ratios in excess of 10 000 to 1, fractal compression is certainly a promising new technology. However, the method is in fact quite controversial, with some people claiming it doesn't work well, while others claim it works wonderfully; as the technology is fast developing, but as yet unproven. At the moment, very little is known about fractal compression and what is known is difficult to ascertain. This paper attempts to clarify the key ideas behind the methodology; and includes an overview of the competition, which includes the JPEG standard and vector quantization. Fractal image compression relies on the fact that all real-world images are rich in affine redundancy; that is, under suitable affine transformations, large bits of real-world images look like smaller bits of the same real-world image. The basic idea behind the method is to express the image as a set of local iterated function systems (IFSs).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Fractal image presents both the mathematical ideas and the practical techniques involved in compressing images by means of fractals. With claims of compression ratios in excess of 10 000 to 1, fractal compression is certainly a promising new technology. However, the method is in fact quite controversial, with some people claiming it doesn't work well, while others claim it works wonderfully; as the technology is fast developing, but as yet unproven. At the moment, very little is known about fractal compression and what is known is difficult to ascertain. This paper attempts to clarify the key ideas behind the methodology; and includes an overview of the competition, which includes the JPEG standard and vector quantization. Fractal image compression relies on the fact that all real-world images are rich in affine redundancy; that is, under suitable affine transformations, large bits of real-world images look like smaller bits of the same real-world image. The basic idea behind the method is to express the image as a set of local iterated function systems (IFSs).

Biographie de l'auteur

B.P. Santosh Kumar obtained B.Tech in Electronics and Instrumentation Engineering from Sree Vidyanikethan Engineering College, Tirupathi. He also obtained M.Tech from Kerala University, Trivandrum. Presently he is working as Assistant Professor in Y.S.R. Engineering college of Yogi Vemana University, Proddatur

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2015
Langue
anglais
ISBN 10 
3659757667
ISBN 13 
9783659757662
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
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9783846518458: Fractal Image Compression Techniques: Genetic Algorithm and Efficient Domain Pool Algorithm for Fractal Image Compression

Edition présentée

ISBN 10 :  384651845X ISBN 13 :  9783846518458
Editeur : LAP LAMBERT Academic Publishing, 2011
Couverture souple