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Coding of plenoptic images by using a sparse set and disparities
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem. (Realistic3D)
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem. (Realistic3D)ORCID-id: 0000-0003-3751-6089
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem. (Realistic3D)
2015 (engelsk)Inngår i: Proceedings - IEEE International Conference on Multimedia and Expo, IEEE conference proceedings, 2015, s. -Art. no. 7177510Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

A focused plenoptic camera not only captures the spatial information of a scene but also the angular information. The capturing results in a plenoptic image consisting of multiple microlens images and with a large resolution. In addition, the microlens images are similar to their neighbors. Therefore, an efficient compression method that utilizes this pattern of similarity can reduce coding bit rate and further facilitate the usage of the images. In this paper, we propose an approach for coding of focused plenoptic images by using a representation, which consists of a sparse plenoptic image set and disparities. Based on this representation, a reconstruction method by using interpolation and inpainting is devised to reconstruct the original plenoptic image. As a consequence, instead of coding the original image directly, we encode the sparse image set plus the disparity maps and use the reconstructed image as a prediction reference to encode the original image. The results show that the proposed scheme performs better than HEVC intra with more than 5 dB PSNR or over 60 percent bit rate reduction.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2015. s. -Art. no. 7177510
Emneord [en]
Plenoptic, lightfield, HEVC, compression
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-25034DOI: 10.1109/ICME.2015.7177510ISI: 000380486500133Scopus ID: 2-s2.0-84946061755Lokal ID: STCISBN: 978-­1-­4799-­7082-­7 (tryckt)OAI: oai:DiVA.org:miun-25034DiVA, id: diva2:815764
Konferanse
IEEE International Conference on Multimedia and Expo, ICME 2015; Turin; Italy; 29 June 2015 through 3 July 2015
Tilgjengelig fra: 2015-06-01 Laget: 2015-06-01 Sist oppdatert: 2017-08-22bibliografisk kontrollert

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Li, YunSjöström, MårtenOlsson, Roger

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