{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T13:26:17Z","timestamp":1648905977402},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2004,9]]},"abstract":"<jats:p> Image compression will always reduce the image fidelity, especially when the image is compressed at lower bit rates, which cannot be tolerated, especially in medical field. But compression is necessary due to the constraint of transmission bandwidth and the limited storage capacity. In this paper, the bad compression performance of the new JPEG2000 and the more conventional JPEG are studied. Besides, using the common objective measures such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE) as the standard quality measurements, we focus more on the statistical and frequency measures as the image characteristics evaluation. Four types of medical modalities are used: X-ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). From these various measurements, we found the general acceptance compression bit rate for each of the medical modalities. <\/jats:p>","DOI":"10.1142\/s0219691304000500","type":"journal-article","created":{"date-parts":[[2004,8,30]],"date-time":"2004-08-30T11:36:17Z","timestamp":1093865777000},"page":"249-267","source":"Crossref","is-referenced-by-count":2,"title":["JPEG2000 AND JPEG: A STATISTICAL APPROACH FOR LOSSILY COMPRESSED MEDICAL IMAGES QUALITY EVALUATION"],"prefix":"10.1142","volume":"02","author":[{"given":"TICK HUI","family":"OH","sequence":"first","affiliation":[{"name":"Faculty of Engineering and Technology, Multimedia University, 75450 Bukit Beruang, Melaka, Malaysia"}]},{"given":"ROSLI","family":"BESAR","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Technology, Multimedia University, 75450 Bukit Beruang, Melaka, Malaysia"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1142\/S021951940200054X"},{"key":"rf3","first-page":"1103","author":"Christopoulos C.","journal-title":"IEEE Trans. Consumer Electronics"},{"key":"rf4","first-page":"920","author":"Cosman P. C.","journal-title":"Proc. IEEE"},{"key":"rf6","first-page":"682","author":"Grgi\u0107 S.","journal-title":"Proc. IEEE Trans. Indus. Electronics"},{"key":"rf7","volume-title":"Digital Image Processing","author":"Gonzalez R. C.","year":"2002"},{"key":"rf10","first-page":"30","author":"Wallace G. K.","journal-title":"Comm. ACM"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4684-1294-9"},{"key":"rf12","first-page":"3","author":"Rabbani M.","journal-title":"Proc. Signal Processing: Image Comm."},{"key":"rf14","first-page":"36","author":"Skodras A.","journal-title":"IEEE Signal Processing Mag."}],"container-title":["International Journal of Wavelets, Multiresolution and Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219691304000500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:07:19Z","timestamp":1565147239000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219691304000500"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,9]]},"references-count":9,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2004,9]]}},"alternative-id":["10.1142\/S0219691304000500"],"URL":"https:\/\/doi.org\/10.1142\/s0219691304000500","relation":{},"ISSN":["0219-6913","1793-690X"],"issn-type":[{"value":"0219-6913","type":"print"},{"value":"1793-690X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,9]]}}}