A region-based Principal Component Analysis (PCA) technique for medical image compression

Principal Component Analysis (PCA) is capable of completely decorrelating input data in the transform domain. However, PCA is limited in image compression because there is a need to encode the eigenvectors of the input data and thereby affects the rate-distortion performance. In an effort to improve...

詳細記述

書誌詳細
第一著者: Lim, Sin Ting
フォーマット: 学位論文
言語:英語
英語
出版事項: 2022
主題:
オンライン・アクセス:http://eprints.utem.edu.my/id/eprint/26876/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122202
Abstract Abstract here

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