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http://dx.doi.org/10.9728/dcs.2015.16.4.583

A Generation of ROI Mask and An Automatic Extraction of ROI Using Edge Distribution of JPEG2000 Image  

Seo, Yeong Geon (Gyeongsang University Computer Science, Graduate School of CCBM)
Kim, Hee Min (Gyeongsang University Computer Science)
Kim, Sang Bok (Gyeongsang University Computer Science, Graduate School of CCBM)
Publication Information
Journal of Digital Contents Society / v.16, no.4, 2015 , pp. 583-593 More about this Journal
Abstract
Today, caused by the growth of computer and communication technology, multimedia, especially image data are being used in different application divisions. JPEG2000 that is widely used these days provides a Region-of-Interest(ROI) technique. The extraction of ROI has to be rapidly executed and automatically extracted in a huge amount of image because of being seen preferentially to the users. For this purpose, this paper proposes a method about preferential processing and automatic extraction of ROI using the distribution of edge in the code block of JPEG2000. The steps are the extracting edges, automatical extracting of a practical ROI, grouping the ROI using the ROI blocks, generating the mask blocks and then quantization, ROI coding which is the preferential processing, and EBCOT. In this paper, to show usefulness of the method, we experiment its performance using other methods, and executes the quality evaluation with PSNR between the images not coding an ROI and coding it.
Keywords
JPEG2000; Wavelet transform; ROI; EBCOT;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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