Title :
Data Compression of Integral Images for 3D TV
Author :
Aggoun, A. ; Tabit, M.
Author_Institution :
Brunel Univ., Uxbridge
Abstract :
Integral imaging is employed as part of a three-dimensional imaging system, allowing the display of full colour images with continuous parallax within a wide viewing zone. A significant quantity of data is required to represent a captured integral 3D image with high resolution. In this paper, a novel approach to the problem of compressing the significant quantity of data required to represent integral 3D video is presented. The algorithm is based on 3D discrete cosine transform (3D-DCT). It takes advantage of the high cross-correlation between the sub-images generated by the microlens array and it takes advantage of the viewpoints image representation of unidirectional image to decrease the number of bits required to code the motion vectors. The algorithm has been simulated on several generated integral 3D videos.
Keywords :
correlation methods; data compression; discrete cosine transforms; image colour analysis; image representation; image resolution; three-dimensional displays; three-dimensional television; video coding; 3D TV; 3D discrete cosine transform; DCT; cross-correlation method; data compression; image colour analysis; image representation; image resolution; integral imaging; microlens array; motion vector; three-dimensional imaging system; video compression; Data compression; Discrete cosine transforms; High-resolution imaging; Image coding; Image resolution; Lenses; Microoptics; Three dimensional TV; Three dimensional displays; Video compression; 3D-TV; Integral imaging; Video coding;
Conference_Titel :
3DTV Conference, 2007
Conference_Location :
Kos Island
Print_ISBN :
978-1-4244-0722-4
Electronic_ISBN :
978-1-4244-0722-4
DOI :
10.1109/3DTV.2007.4379380
