Development of Image Compression Algorithms: Using Soft Computing Techniques - Couverture souple

Singh, Vipula; Rajpal, Navin

 
9783845436319: Development of Image Compression Algorithms: Using Soft Computing Techniques
Couverture souple
ISBN 10 : 384543631X ISBN 13 : 9783845436319
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Applications, which need to store large database and/or transmit digital images requiring high bit-rates over channels with limited bandwidth, have demanded improved image compression techniques.. Encoding an image into fewer bits is useful in reducing the storage requirements in image archival systems, or in decreasing the bandwidth for image transmission. In standard image compression methods (e.g. JPEG), as the bits per pixel reduces, the picture quality deteriorates because of the use of bigger quantization step size. In this work, image compression techniques are designed keeping in mind the human visual system. Practical and effective image compression system based on Neuro-Wavelet models have been proposed which combines the advantages of neural network and wavelet transform with vector quantization. Fuzzy c-means and Fuzzy vector quantization algorithms have also been used to make use of uncertainty for the benefit of the clustering process. We have compared the performances of different clustering algorithms applied to the proposed encoder. Experimental results on real images of varying complexity have established the robustness and effectiveness of the method

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Présentation de l'éditeur

Applications, which need to store large database and/or transmit digital images requiring high bit-rates over channels with limited bandwidth, have demanded improved image compression techniques.. Encoding an image into fewer bits is useful in reducing the storage requirements in image archival systems, or in decreasing the bandwidth for image transmission. In standard image compression methods (e.g. JPEG), as the bits per pixel reduces, the picture quality deteriorates because of the use of bigger quantization step size. In this work, image compression techniques are designed keeping in mind the human visual system. Practical and effective image compression system based on Neuro-Wavelet models have been proposed which combines the advantages of neural network and wavelet transform with vector quantization. Fuzzy c-means and Fuzzy vector quantization algorithms have also been used to make use of uncertainty for the benefit of the clustering process. We have compared the performances of different clustering algorithms applied to the proposed encoder. Experimental results on real images of varying complexity have established the robustness and effectiveness of the method

Biographie de l'auteur

Dr. Vipula Singh has obtained her PhD in Information Technology in 2009. She is working as a professor. She is the author of several articles published in reputed journals and is a member of different international professional bodies. Her areas of research are image processing, pattern recignition and neural networks.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
384543631X
ISBN 13 
9783845436319
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
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