A study on source coding of super definition images with vector quantization

Tetsuro Fujii, Tomako Sawabe, Naohisa Ohta, Sadayasu Ono

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

A vector quantization scheme specifically designed for super high definition images is proposed. This coding scheme is organized in two phases. In the first phase, multistage vector quantization takes place in the subband domain. In the second phase, threshold block selective vector quantization is done to reduce the visible blockiness distortion. The input image has a resolution of 2048 by 2048 pixels and is first divided into four bands and decimated using vertical and horizontal filtering. In each band, the decimated image signal is quantized using multistage vector quantization. In each vector quantization stage, either a self-learning address dictionary method or a threshold block selective method is utilized. High quality and definition decoded images are obtained through this method. Its quality is examined using a super high definition image display system.

Original languageEnglish
Pages (from-to)227-230
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
Publication statusPublished - 1990 Dec 1
Event1990 IEEE International Symposium on Circuits and Systems Part 4 (of 4) - New Orleans, LA, USA
Duration: 1990 May 11990 May 3

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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