The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Arithmetic coding for data compression
Communications of the ACM
Data compression: the complete reference
Data compression: the complete reference
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Digital Image Processing
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
SCATTERED DATA TECHNIQUES FOR SURFACES
SCATTERED DATA TECHNIQUES FOR SURFACES
Image compression using plane fitting with inter-block prediction
Image and Vision Computing
RBF based spatio-temporal representation technique for video compression
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
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In this paper, an image compression method based on a novel idea of surface fitting is proposed. An image is divided into sub-images using a quad tree according to the complexity of the image surface, which is a three-dimensional surface when the pixel values are considered as heights (z-values) defined on the x-y plane. Sub-image surfaces are approximated using a radial-basis function network (RBFN), and the parameters of the RBFN are stored as compressed image representation. This method has comparable performance and quality to the JPEG image compression technique.