{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T16:45:29Z","timestamp":1743266729068},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:p> In this paper, we present a new algorithm for image inpainting using low dimensional feature space. In our method, projecting a low dimensional space from the original space is accomplished firstly using SVD, which is named low rank component, and then the missing pixels are filled in the new space. Finally, the original image is inpainted so that adaptive patch size is considered by quad-tree based on the previous step. In our algorithm, the missing pixels in the target region are estimated twice, one in low dimension feature space and another in the original space. It is noticeable that both processes estimate the unknown pixels using patch-based idea and rank lowering concept. Experimental results of this algorithm show better consistency in comparison with state-of-the-art methods. <\/jats:p>","DOI":"10.1142\/s0218213021500147","type":"journal-article","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T06:11:15Z","timestamp":1622182275000},"page":"2150014","source":"Crossref","is-referenced-by-count":1,"title":["Efficient Image Inpainting Using Dimensional Space Reduction via Adaptive Patch-based Concept and Rank Lowering Technique"],"prefix":"10.1142","volume":"30","author":[{"given":"Kimia","family":"Peyvandi","sequence":"first","affiliation":[{"name":"Electrical and Computer Engineering Department, Semnan University, Semnan, Iran"}]},{"given":"Farzin","family":"Yaghmaee","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Department, Semnan University, Semnan, Iran"}]}],"member":"219","published-online":{"date-parts":[[2021,5,28]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213021500147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T06:11:20Z","timestamp":1622182280000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213021500147"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":0,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["10.1142\/S0218213021500147"],"URL":"https:\/\/doi.org\/10.1142\/s0218213021500147","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}