Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, Chia-Chenen_US
dc.contributor.authorLiu, Xiao-Longen_US
dc.contributor.authorZhou, Jian-Jieen_US
dc.contributor.authorYuan, Shyan-Mingen_US
dc.date.accessioned2015-12-02T03:00:54Z-
dc.date.available2015-12-02T03:00:54Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-5390-5en_US
dc.identifier.issnen_US
dc.identifier.urihttp://dx.doi.org/10.1109/IIH-MSP.2014.35en_US
dc.identifier.urihttp://hdl.handle.net/11536/128526-
dc.description.abstractWith the purpose of improving the visual quality of an original block truncation coding (BTC) compressed image, an optimal modified BTC scheme (OMBTC) is proposed. The binary search tree (BST) technique is utilized to determine the optimal quantization of each image block. The proposed scheme is compared with several existing modification BTC schemes; the experimental results demonstrate that the proposed scheme can preserve high image quality after compression.en_US
dc.language.isoen_USen_US
dc.subjectblock truncation coding (BTC)en_US
dc.subjectbinary search tree (BST)en_US
dc.subjectimage compressionen_US
dc.titleAn Optimal Modified BTC Scheme based on Binary Search Treeen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/IIH-MSP.2014.35en_US
dc.identifier.journal2014 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2014)en_US
dc.citation.spage114en_US
dc.citation.epage117en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000358743800029en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper