Fig. 1. 3D lifting decomposition of image sets
During his tenure at Microsoft Research Asia, Dr. Li has noticed the works of image based rendering (IBR) research done at Microsoft, such as Lumigraph, Lightfield , Layered Depth Image , Concentric Mosaics , etc.. Being a compression expert, he starts to consider how to compress the IBR image set efficiently. He has worked out a number of different compression methods, such as:
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Compress the images through multiple references:
C. Zhang and J. Li, "Compression of Lumigraph with multiple reference frame (MRF) prediction and just-in-time rendering", IEEE Data Compression Conference (DCC'2000), pp. 253-262, Snowbird, Utah, Mar. 2000.
C. Zhang and J. Li, "Compression and rendering of concentric mosaic scenery with reference block codec (RBC)", SPIE Visual Communication and Image Processing (VCIP 2000), Vol. 4067, No. 5, pp. 43-54, Perth, Australia, Jun. 2000.
- Wavelet Compression:
L. Luo, Y. Wu, J. Li and Y. Zhang, “Compression of concentric mosaic scenery with alignment and 3D wavelet transform”, SPIE: Image and Video Communication and Processing, Vol. 3974, No. 10, pp. 89-100, San Jose CA, Jan. 2000.
L. Luo, Y. Wu, J. Li and Y. Zhang, " 3-D wavelet compression and progressive inverse wavelet synthesis rendering of concentric mosaic ", IEEE Trans. on Image Processing, Vol. 11, No. 7, Jul. 2002, pp. 802-816.
- Compression of Depth Image:
J. Duan and J. Li, "Compression of the layered depth image", IEEE Trans. On Image Processing, vol. 12, no. 3, Mar. 2003, pp.365-372.