ベクトル量子化を用いたサブバンド画像符号化

Material type: 文書・図像類

Author: 宮澤, 康臣ほか

Publisher: 愛知工業大学

Publication date: 1998-03-31

Material Format: Digital

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Note (General)：: Image subband decomposition enables efficient coding matched to the statistics of each subband and human visual characteristics. Vector quantization (...

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Material Type: 文書・図像類
Title: ベクトル量子化を用いたサブバンド画像符号化
Author/Editor: 宮澤, 康臣
沢田, 克敏
Author Heading: 宮澤, 康臣
沢田, 克敏
Publication, Distribution, etc.: 愛知工業大学
Publication Date: 1998-03-31
Publication Date (W3CDTF): 1998-03-31
Alternative Title: ベクトルリョウシカオモチイタサブバンドガゾウフゴウカ
Subband Image Coding Using Vector Quantization
Periodical title: 愛知工業大学研究報告. B, 専門関係論文集 = Bulletin of Aichi Institute of Technology. Part B
No. or year of volume/issue: 33
Volume: 33
Pages: 207-216
ISSN (Periodical Title): ISSN : 0387-0812
Text Language Code: jpn
Target Audience: 一般
Note (General): Image subband decomposition enables efficient coding matched to the statistics of each subband and human visual characteristics. Vector quantization (VQ) provides a powerful means of bit rate reduction taking advantage of remaining intra and inter band correlation of the decomposed subband images. This paper describes image coding schemes which combines subband decomposition and VQ for still pictures and video sequences. For still picture coding, we propose "same orientation" inter-subband VQ with vector power "thresholding" and "subband limitation". For video sequence coding, we propose subband VQ of motion compensated (MC) prediction difference. Computer simulation results present that 1) "thresholding" and "subband limitation" are very effective for low bit rate coding of still pictures and 2) "same orientation" inter-subband VQ of MC prediction difference shows higher performance than intra-subband VQ for video sequences.
identifier:http://repository.aitech.ac.jp/dspace/handle/11133/1061
Access Restrictions: 限定公開
Periodical Title (NCID): AN00007801
https://ci.nii.ac.jp/ncid/AN00007801
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 愛知工業大学 : 愛知工業大学学術情報リポジトリ