Authors
Aggoun, AmarAffiliation
Brunel UniversityIssue Date
2011-11
Metadata
Show full item recordAbstract
Integral imaging is a technique capable of displaying 3D images with continuous parallax in full natural color. It has been reported by many research groups and is becoming a viable alternative for 3D television. With the development of 3D integral imaging, image compression becomes mandatory for the storage and transmission of 3D integral images. In this paper, the use of the lifting scheme in the application of a 3D Wavelet Transform for the compression of 3D Integral Images is proposed. The method requires the extraction of different viewpoint images from an integral image. The 3D wavelet decomposition is computed by applying three separate 1D transforms along the coordinate axes of the given sequence of Viewpoint Images. The spatial wavelet decompositions on a single viewpoint and on the inter-viewpoint images are performed using the biorthogonal Cohen-Debauchies-Feauveau 9/7 and 5/3 filter banks, respectively. All the resulting wavelet coefficients from application of the 3D wavelet decomposition are arithmetic encoded. Simulations are performed on a set of different grey level 3D Integral Images using a uniform scalar quantizer with deadzone. The results for the average of the four intensity distributions are presented and compared with previous use of 2D DWT and 3D-DCT based schemes. It was found that the algorithm achieves better rate-distortion performance and reconstructs the images with much better image quality at very low bit rates.Citation
Aggoun, A. (2011) 'Compression of 3D Integral Images Using 3D Wavelet Transform' Journal of Display Technology 7 (11):586Publisher
IEEEJournal
Journal of Display TechnologyType
ArticleLanguage
enISSN
1551-319X1558-9323
ae974a485f413a2113503eed53cd6c53
10.1109/JDT.2011.2159359