Two-Level Quantizer Design Using Genetic Algorithm
スポンサーリンク
概要
- 論文の詳細を見る
In this letter, a new scheme of designing two-level minimum mean square error quantizer for image coding is proposed. Genetic algorithm is applied to achieve this goal. Comparisons of results with various methods have verified, the proposed method can reach nearly optimal quantization with only less iterations.
- 社団法人電子情報通信学会の論文
- 1999-02-25
著者
-
Cheng Po-jen
Department Of Electrical Engineering National Cheng Kung University
-
Tai Shen-chuan
Department Of Electrical Engineering National Cheng Kung University
-
CHEN Wen-Jan
Department of Electrical Engineering, National Cheng Kung University
-
Chen Wen-jan
Department Of Computer Science And Information Engineering Da-yeh University
関連論文
- Gene dosage change of TPTE and BAGE2 and breakpoint analysis in Robertsonian Down syndrome
- Prediction of fetal birthweight in Taiwanese women with pre-eclampsia and gestational hypertension using an equation based on maternal characteristics
- Comparisons of maternal and perinatal outcomes in Taiwanese women with complete and partial HELLP syndrome and women with severe pre-eclampsia without HELLP
- Two-Level Quantizer Design Using Genetic Algorithm
- The Detection of Right-Sided Congenital Diaphragmatic Hernia in Monozygotic Twins on Prenatal Ultrasonography
- Extraction of Line Feature in Binary Images
- A Genetic Algorithm Approach to Multilevel Block Truncation Coding (Special Section on Digital Signal Processing)
- Effects of postoperative analgesia on postpartum urinary retention in women undergoing cesarean delivery