{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:18:10Z","timestamp":1759335490326},"reference-count":3,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2002,6]]},"abstract":"<jats:p>Efficient methods for resizing two-dimensional binary signals are increasingly on demand for a variety of applications such as computer graphics, computer cartography, and machine generated text.<jats:sup>2,4,6<\/jats:sup>Recently, algorithms have been proposed such as those based on interpolation methods including nearest neighbor, linear, and Butterworth. Other methods such as splines,<jats:sup>5<\/jats:sup>wavelets, and DCT-based algorithms<jats:sup>11,12<\/jats:sup>are also presented. All these methods generate distortion and noticeable degradation in the quality of the signals (e.g., binary images) especially at and around edges. In this paper, we present a new near optimal edge preserving binary image resizing scheme that produces perceptually perfect edges. This scheme is based on edge detection, edge chain coding, edge code representation, and the uses of predetermined resizing patterns. The results obtained by this method show that the resized images are aesthetically and objectively much better than the results of other published methods.<\/jats:p>","DOI":"10.1142\/s0218126602000392","type":"journal-article","created":{"date-parts":[[2002,10,1]],"date-time":"2002-10-01T20:07:50Z","timestamp":1033502870000},"page":"247-257","source":"Crossref","is-referenced-by-count":3,"title":["A NEW EDGE PRESERVING BINARY IMAGES RESIZING TECHNIQUE"],"prefix":"10.1142","volume":"11","author":[{"given":"SAIF","family":"ZAHIR","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver BC V6T 1Z4, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"RABAB","family":"WARD","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver BC V6T 1Z4, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"p_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/TIP.1995.8876004","volume":"4","author":"Unser M.","year":"1995","journal-title":"IEEE Trans. Image Processing"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1109\/83.366477"},{"key":"p_9","first-page":"23","author":"Schultz R. R.","year":"1992","journal-title":"Proc. IEEE Acoustic, Speech, and Signal Processing Conference, San Francisco, CA, USA, March"}],"container-title":["Journal of Circuits, Systems and Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218126602000392","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T03:10:48Z","timestamp":1583723448000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218126602000392"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,6]]},"references-count":3,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2002,6]]}},"alternative-id":["10.1142\/S0218126602000392"],"URL":"https:\/\/doi.org\/10.1142\/s0218126602000392","relation":{},"ISSN":["0218-1266","1793-6454"],"issn-type":[{"value":"0218-1266","type":"print"},{"value":"1793-6454","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,6]]}}}