A study of bias correction methods for enhancing median edge detector prediction

Haijiang Tang*, Sei Ichiro Kamata, Kazuyuki Tsuneyoshi

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this paper, we present three novel lossless compression approaches for gray-scale continuous tone natural image. Our methods enhance the median edge detector (MED), which is the core part of JPED-LS algorithm, by reducing the entropy of the prediction error via adaptive regression. These modified predictors improve the prediction accuracy by reducing the negative effect due to MED's oversimplified edge orientation detection. The experimental results show that our approaches achieve evidently better performance than MED with only neglectable increasing of computational complexity and without introduce extra pixels into the causal template.

本文言語English
ホスト出版物のタイトル2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005
DOI
出版ステータスPublished - 2006 12月 1
イベント2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005 - Shanghai, China
継続期間: 2005 10月 302005 11月 2

出版物シリーズ

名前2005 IEEE 7th Workshop on Multimedia Signal Processing

Conference

Conference2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005
国/地域China
CityShanghai
Period05/10/3005/11/2

ASJC Scopus subject areas

  • 信号処理

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