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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 32-566
Full Name: Roumen Kountchev
Position: Professor
Age: ON
Sex: Male
Address: Technical University - Sofia, Bul. Kl. Ohridsky, 8
Country: BULGARIA
Tel: 965 3283
Tel prefix: 3592
Fax: 962 4407
E-mail address: rkountch@tu-sofia.bg
Other E-mails:
Title of the Paper: Non-Linear Image Representation Based on IDP with NN
Authors as they appear in the Paper: Roumen Kountchev, Stuart Rubin, Mariofanna Milanova, Vladimir Todorov, Roumiana Kountcheva
Email addresses of all the authors: rkountch@tu-sofia.bg, stuart.rubin@navy.mil, mgmilanova@ualr.edu, todorov_vl@yahoo.com, kountcheva_r@yahoo.com
Number of paper pages: 10
Abstract: - In this paper is offered a method for non-linear still image representation based on pyramidal decomposition with a neural network. This approach is developed by analogy with the hypothesis for the way humans do image recognition using consecutive approximations with increasing similarity. A hierarchical decomposition, named Inverse Difference Pyramid (IDP), is used for the image representation. The approximations in the consecutive decomposition layers are represented by the neurons in the hidden layers of the neural networks (NN). This approach ensures efficient description of the processed images and as a result – a high compression ratio. This new way for image representation is suitable for various applications (efficient compression, multi-layer search in image databases, etc.).
Keywords: Non-linear image representation, pyramidal decomposition, neural networks
EXTENSION of the file: .pdf
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