Presentation 1998/3/6
Multispectral Image Compression Using 3-D DCT
Norio SATO, Tsuyoshi TAKEBE, Shuitsu MATSUMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a data compression algorithm for multispectral remote sensing images with perceptually lossless level.The algorithm reduces the spectral and spatial correlations in the images using 3-D DCT.The DCT coefficients with same indexes are collected to form coefficient blocks respectively.The blocks are classified by its average power into five classes and scallar or vector quantized class by class.We present the coding performance of the proposed algorithm using Landsat Thermatic Mapper data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) JPEG / Image Coding / Remote Sensing / Discrete Cosine Transform / Vector Quantization
Paper #
Date of Issue

Conference Information
Committee IE
Conference Date 1998/3/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multispectral Image Compression Using 3-D DCT
Sub Title (in English)
Keyword(1) JPEG
Keyword(2) Image Coding
Keyword(3) Remote Sensing
Keyword(4) Discrete Cosine Transform
Keyword(5) Vector Quantization
1st Author's Name Norio SATO
1st Author's Affiliation Kanazawa Insutitute of Technology()
2nd Author's Name Tsuyoshi TAKEBE
2nd Author's Affiliation Kanazawa Technical College
3rd Author's Name Shuitsu MATSUMURA
3rd Author's Affiliation Kanazawa Technical College
Date 1998/3/6
Paper #
Volume (vol) vol.97
Number (no) 590
Page pp.pp.-
#Pages 8
Date of Issue