{"created":"2020-09-01T14:04:14.822231+00:00","id":4080,"links":{},"metadata":{"_buckets":{"deposit":"d1245bf5-a0dd-49bd-ba61-c426ef967aca"},"_deposit":{"id":"4080","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4080"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4080","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Image Compression by Embedded Zerotrees Wavelet Coding","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Image compression is very important in manyapplications, especially for progressive transmission,image browsing, multimedia applications. Imagecontains large amounts of information that requiresmuch storage space, large transmission bandwidthsand long transmission times. Therefore, it is largeadvantages to compress the image by storing onlythe essential information needed to reconstruct theimage. Image Compression reduces the number ofbits needed to represent an image while maintaininga desirable quality. Wavelet image transform is aform of lossy image compression method. It has theability to divide the original image into unoverlappedblocks depending on the thresholdvalues. This system present image compression anddecompression using embedded zerotrees wavelet(EZW) algorithm. And then tests discrete wavelettransforms and compare of their compression ratio(CR) and peak signal to noise ratio (PSNR) withdifferent wavelet families."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-08-05"}],"displaytype":"preview","filename":"55190.pdf","filesize":[{"value":"252 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4080/files/55190.pdf"},"version_id":"ef5645a4-50e9-4748-bb3f-06fb6bd52f88"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fourth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Reen, Mau"},{"subitem_authors_fullname":"Khaing, Khathy"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2009-12-30"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1785"},"item_title":"Image Compression by Embedded Zerotrees Wavelet Coding","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-08-05","publish_status":"0","recid":"4080","relation_version_is_last":true,"title":["Image Compression by Embedded Zerotrees Wavelet Coding"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T04:35:59.720916+00:00"}