Add to ORKG[[abstract]]Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's (1968) identity, this article presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.
In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantizat...
Vector quantization is an efficient image-coding technique to achieve a very low bit-rate compressio...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
[[abstract]]In this paper, we propose three improved codebook searching algorithms for vector quanti...
[[abstract]]In order to speed up the computation time of searching the closest codeword in VQ compre...
This paper introduces an arbitrary hyperplane approach for both codebook generation and search for v...
Vector quantization (VQ) is an established data compression technique. It has been successfully used...
I n this paper, the authors present a novel image coding technique which explicitly aims to retain p...
[[abstract]]In a fixed-rate vector quantization system, an image is divided into smaller blocks, and...
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...
The design of fast nearest-neighbor algorithms is a crucial issue in vector quantizers using unstruc...
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...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantizat...
Vector quantization is an efficient image-coding technique to achieve a very low bit-rate compressio...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...
[[abstract]]In this paper, we propose three improved codebook searching algorithms for vector quanti...
[[abstract]]In order to speed up the computation time of searching the closest codeword in VQ compre...
This paper introduces an arbitrary hyperplane approach for both codebook generation and search for v...
Vector quantization (VQ) is an established data compression technique. It has been successfully used...
I n this paper, the authors present a novel image coding technique which explicitly aims to retain p...
[[abstract]]In a fixed-rate vector quantization system, an image is divided into smaller blocks, and...
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...
The design of fast nearest-neighbor algorithms is a crucial issue in vector quantizers using unstruc...
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...
AbstractIn this paper, a vector quantization algorithm is proposed for image compression. The propos...
In this paper, a Region of Interest(ROI) based compression method is proposed using Vector Quantizat...
Vector quantization is an efficient image-coding technique to achieve a very low bit-rate compressio...
A general structure for suboptimum vector quantizers is presented with examples for the iid Gaussian...