Add to ORKGA general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian and Laplacian sources. The application of these VQs to transform coding of images is discussed
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
[[abstract]]Vector quantization (VQ) technique is a well known method in image compression. Employin...
In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantizat...
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...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
A vector quantization algorithm is presented which accomplishes image restoration concurrently with ...
Image compression is the process of reducing the number of bits required to represent an image. Vect...
Image data compression is concerned with the minimization of the volume of data used to represent an...
Vector quantization (VQ) is an established data compression technique. It has been successfully used...
In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and t...
Abstract—Interval arithmetic (IA) can enhance vector quantiza-tion (VQ) in image-compression applica...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
We present an average sense optimal vector transform (AOVT) for vector quantization (VQ)-based codin...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
[[abstract]]Vector quantization (VQ) technique is a well known method in image compression. Employin...
In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantizat...
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...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
A vector quantization algorithm is presented which accomplishes image restoration concurrently with ...
Image compression is the process of reducing the number of bits required to represent an image. Vect...
Image data compression is concerned with the minimization of the volume of data used to represent an...
Vector quantization (VQ) is an established data compression technique. It has been successfully used...
In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and t...
Abstract—Interval arithmetic (IA) can enhance vector quantiza-tion (VQ) in image-compression applica...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
We present an average sense optimal vector transform (AOVT) for vector quantization (VQ)-based codin...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
[[abstract]]Vector quantization (VQ) technique is a well known method in image compression. Employin...
In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantizat...