Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Image compression using neural networks and haar wavelet
WSEAS Transactions on Signal Processing
An Image Compressing Algorithm Based on Classified Blocks with BP Neural Networks
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 04
Combining neural networks and the wavelet transform for image compression
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Vector quantization of image subbands: a survey
IEEE Transactions on Image Processing
Space-frequency quantization for wavelet image coding
IEEE Transactions on Image Processing
An RBF-based compression method for image-based relighting
IEEE Transactions on Image Processing
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An efficient image compression technique is required for storage and transmission of raw images that need enormous amounts of disk space. The compression algorithms for different types of images take a longer time to converge when they are compressed using radial basis function neural network RBFNN along with wavelet. The convergence of the network as well as the compression ratio can be improved, by estimating cumulative distribution function CDF for the image and CDF is used to map the image pixels. The main contribution of this paper is in developing a compression technique that combines the specific features of wavelet transform, RBFNN and vector quantisation using CDF. The distinct way in which the low and high frequency components are handled in this paper, makes it an efficient technique for compression. It is been demonstrated that the RBFNN, along with wavelet, not only yields better peak signal to noise ratio at high compression ratio but also reduces computation time when the mapped image pixels are used in relation to the unmapped image pixels.