A novel extrapolation selection finite state vector quantizer (ESFSVQ) has been devised. The state codebook selection algorithm is based on linear extrapolation predictions from the immediate upper and left neighboring blocks of each incoming source vector. It may be characterized as a vector quantizer with memory. The main accomplishment of ESFSVQ is to assure access to a large master codebook for quantizing purposes, and thus achieve high image quality, while utilizing the low bit rate of a small state codebook, for the purpose of specifying the block label. A master codebook of 4 × 4 blocks of size 256, 512 or 1024, state codebook sizes of 32, 64, or 128 vectors, was employed in implementing ESFSVQ. The results have shown that high image...
[[abstract]]Image encoding using a new high-speed and high-quality FASVQ (filtering and seeking vect...
[[abstract]]Several low bit-rate still-image compression methods have been presented for the past tw...
Vector Quantization has emerged as an efficient data compression tool for compressing speech and ima...
[[abstract]]A coding algorithm must have the ability to adapt to changing image characteristics for ...
: In this paper a Vector Quantization (VQ) scheme with finite memory called Feature Map Finite-State...
International audienceThis paper focuses on the conditional histogram (CH) next-state function desig...
[[abstract]]A new hybrid coding scheme called the finite state residual vector quantization (FSRVQ) ...
Abstract—Vector quantization (VQ) is a powerful method for lossy compression. VQ exploits the statis...
A finite-state vector quantizer is a finite-state machine that can be viewed as a collection of memo...
This paper introduces an arbitrary hyperplane approach for both codebook generation and search for v...
[[abstract]]Several effective low bit rate still image compression methods have been presented in th...
[[abstract]]Several low bit-rate still-image compression methods have been presented for the past tw...
The finite-state vector quantizer (FSVQ), introduced by Foster, Dunham and Gray, is a finite-state m...
A finite-state vector quantizer (FSVQ) is a multicodebook system in, which the current state (or cod...
A vector quantization algorithm is presented which accomplishes image restoration concurrently with ...
[[abstract]]Image encoding using a new high-speed and high-quality FASVQ (filtering and seeking vect...
[[abstract]]Several low bit-rate still-image compression methods have been presented for the past tw...
Vector Quantization has emerged as an efficient data compression tool for compressing speech and ima...
[[abstract]]A coding algorithm must have the ability to adapt to changing image characteristics for ...
: In this paper a Vector Quantization (VQ) scheme with finite memory called Feature Map Finite-State...
International audienceThis paper focuses on the conditional histogram (CH) next-state function desig...
[[abstract]]A new hybrid coding scheme called the finite state residual vector quantization (FSRVQ) ...
Abstract—Vector quantization (VQ) is a powerful method for lossy compression. VQ exploits the statis...
A finite-state vector quantizer is a finite-state machine that can be viewed as a collection of memo...
This paper introduces an arbitrary hyperplane approach for both codebook generation and search for v...
[[abstract]]Several effective low bit rate still image compression methods have been presented in th...
[[abstract]]Several low bit-rate still-image compression methods have been presented for the past tw...
The finite-state vector quantizer (FSVQ), introduced by Foster, Dunham and Gray, is a finite-state m...
A finite-state vector quantizer (FSVQ) is a multicodebook system in, which the current state (or cod...
A vector quantization algorithm is presented which accomplishes image restoration concurrently with ...
[[abstract]]Image encoding using a new high-speed and high-quality FASVQ (filtering and seeking vect...
[[abstract]]Several low bit-rate still-image compression methods have been presented for the past tw...
Vector Quantization has emerged as an efficient data compression tool for compressing speech and ima...