| Paper: | IMDSP-P6.12 | ||
| Session: | 3D Coding, Processing and Applications | ||
| Time: | Wednesday, May 17, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Stereoscopic and 3-D Coding | ||
| Title: | A 3D DCT COMPRESSION ALGORITHM FOR OMNIDIRECTIONAL INTEGRAL IMAGES | ||
| Authors: | Amar Aggoun, Brunel University, United Kingdom | ||
| Abstract: | A compression scheme for Omnidirectional Integral Image data is described which uses a three dimensional DCT to exploit the intra-sub-image correlation together with the horizontal and vertical inter-sub-image correlation, resulting in a very efficient de-correlation of the source intensity distribution. The nature of the recorded intensity distribution data with respect to redundancies present and the structure of the data representing the image object are investigated. A three dimensional scalar quantisation array is applied to the DCT coefficients, which are then entropy encoded by a Huffman-based coder. The results obtained after applying the 3D DCT based scheme to OII data are presented and discussed, and compared with simulations produced using the JPEG scheme. | ||
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