IMAGE DATA COMPRESSION AND RECONSTRUCTION BY TWO-DIMENSIONAL INTERPOLATIVE LINEAR ESTIMATION.

Koichiro Deguchi, Iwao Morishita

研究成果: Article査読

抄録

A new method for image data compression and reconstruction is described. In this method two-dimensional interpolative linear estimation is employed to obtain a large data compression ratio. The gray level of each pixel is estimated by taking a linear weighted summation of gray levels of its neighbours on all sides. The weight coefficients are determined so that the mean square estimation error is minimized. To reconstruct the original image from the compressed data, an iterative algorithm based on the conjugate gradient method is used.

本文言語English
ページ(範囲)537-551
ページ数15
ジャーナルJournal of the Faculty of Engineering, University of Tokyo, Series B
35
4
出版ステータスPublished - 1980 1月 1

ASJC Scopus subject areas

  • 工学(全般)

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