Self-organizing Finite State Vector Quantization for Image Coding

Hui Liu and David Y. Y. Yun

Department of Electrical EngineeringUniversity of Hawaii at Manoa2540 Dole St., Holmes Hall 491 & 2, Honolulu, Hawaii 96822 USAEmail: hliu or dyun@wiliki.eng.hawaii.edu

Abstract

This paper presents a new method in finite state vector quantization (FSVQ) for image coding by using self-organizing neural networks to automatically design the state codebook and next-state function without the need of matching the local statistics to the global statistics. It dynamically predicts the most probable codevectors for the current input as state codebook based on the distance information of codevectors used to encode the neighboring blocks. Our experiments show ...

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