Title :
A new finite-state vector quantizer with optimized state space and derailment-free operation
Author :
Ginesta, Xavier ; Kim, Seung P.
Author_Institution :
Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA
fDate :
2/1/1996 12:00:00 AM
Abstract :
A new finite-state vector quantization (FSVQ) algorithm is developed based on state space optimization and the derailment prevention requirement. The proposed derailment-free FSVQ (DF-FSVQ) achieves good performance through (i) state space reduction, which allows a practical implementation of high-order FSVQ, and (ii) derailment free state transitions. Experimental results show that our approach outperforms other known FSVQ schemes in terms of performance, system complexity, and processing speed, especially at low bit rate image coding
Keywords :
image coding; optimisation; source coding; state-space methods; vector quantisation; FSVQ algorithm; derailment free state transitions; derailment prevention; derailment-free FSVQ; derailment-free operation; experimental results; finite-state vector quantizer; high-order FSVQ; low bit rate image coding; optimized state space; performance; processing speed; source coding; state space optimization; state space reduction; system complexity; Algorithm design and analysis; Bit rate; Circuits; Image coding; Image processing; Notice of Violation; Railway accidents; State-space methods; Vector quantization; Video compression;
Journal_Title :
Image Processing, IEEE Transactions on