Add to ORKGIn Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and training vectors is a non-linear problem. Tradi-tional LBG type of algorithms converge to a loca
[[abstract]]This article develops an evolutional fuzzy particle swarm optimization (FPSO) learning a...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
In vector quantization (VQ), minimization of mean square error (MSE) between code book vectors and t...
In vector quantization (VQ), minimization of mean square error (MSE) between code book vectors and t...
The optimization of lossy compression of images is inherently difficult due to the complexity of hum...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
A vector quantization algorithm is presented which accomplishes image restoration concurrently with ...
This paper introduces an arbitrary hyperplane approach for both codebook generation and search for v...
Image compression is the process of reducing the number of bits required to represent an image. Vect...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
A low bit rate still image compression scheme by compressing the indices of Vector Quantization (VQ)...
Abstract Lossy image compression has been gaining importance in recent years due to the enormous inc...
Lossy image compression has been gaining importance in recent years due to the enormous increase in ...
As the use of digital image is increasing day by day, and the amount of data required for an accepta...
[[abstract]]This article develops an evolutional fuzzy particle swarm optimization (FPSO) learning a...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
In vector quantization (VQ), minimization of mean square error (MSE) between code book vectors and t...
In vector quantization (VQ), minimization of mean square error (MSE) between code book vectors and t...
The optimization of lossy compression of images is inherently difficult due to the complexity of hum...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
A vector quantization algorithm is presented which accomplishes image restoration concurrently with ...
This paper introduces an arbitrary hyperplane approach for both codebook generation and search for v...
Image compression is the process of reducing the number of bits required to represent an image. Vect...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
A low bit rate still image compression scheme by compressing the indices of Vector Quantization (VQ)...
Abstract Lossy image compression has been gaining importance in recent years due to the enormous inc...
Lossy image compression has been gaining importance in recent years due to the enormous increase in ...
As the use of digital image is increasing day by day, and the amount of data required for an accepta...
[[abstract]]This article develops an evolutional fuzzy particle swarm optimization (FPSO) learning a...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...