New spatial error concealment with texture modeling and adaptive directional recovery

Conference proceedings article


ผู้เขียน/บรรณาธิการ


กลุ่มสาขาการวิจัยเชิงกลยุทธ์

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รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่งNangam P., Kumwilaisak W., Keawkumnerd S.

ผู้เผยแพร่Hindawi

ปีที่เผยแพร่ (ค.ศ.)2010

หน้าแรก703

หน้าสุดท้าย707

จำนวนหน้า5

ISBN9789746724913

eISSN1745-4557

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77954938906&partnerID=40&md5=cd4c8c7e8595d39747d81efdc9e0669c

ภาษาEnglish-Great Britain (EN-GB)


บทคัดย่อ

A spatial error concealment technique based on the sequence-aligned texture modeling and the adaptive directional recovery is proposed in this work. Texture modeling is achieved using the sequence alignment technique. It captures the local variation and the global trend of image textures in corrupted regions with surrounding uncorrupted pixels, and provides the best texture model under a given cost function. Results of texture approximation are in a form of aligned pixel pairs, and the desired local texture model can be obtained by connecting them with line segments. With the derived texture model, geometric interpolation is then used to recover lost pixels adaptively based on pixel locations. There are four candidate pixel sequences to recover lost pixels, and one of them is selected for the concealment purpose. Since a pixel sequence that provides good estimation of lost pixels should also offer a good estimate of pixels surrounding the corrupted region, the minimum-mean-squared error (MMSE) between original and estimated uncorrupted pixels is used as the selection criterion. Extensive experimental results are given to demonstrate that the proposed error concealment technique outperforms several benchmark methods in both objective and subjective tests.


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อัพเดทล่าสุด 2022-06-01 ถึง 15:41