Fractal Volume Rendering

Author

Li, Xiaoliang ; Qin, Hongxing ; Yang, Jie ; Zhu, Yuemin

Author_Institution

Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ.

Volume

2

fYear

2006

fDate

14-19 May 2006

Abstract

Efficient visualization of large volumetric data is a challenge for image processing community. In this paper, we present a novel volume rendering algorithm based on the concept of fractal. It consists of dividing the volumetric data set into sub-blocks, calculating the 3D fractal coefficients of each sub-block, projecting them to 2D image plane, and generating sub-images through 2D inverse fractal transform. The final rendered image is then obtained by simply summing the sub-images. Compared to the conventional ray casting technique, the proposed fractal volume rendering (FVR) method presents the advantage of reducing time complexity as well as memory complexity while maintaining good rendering quality. Moreover, the progressive refinement is supported owing to the iterative convergent process of sub-image generation

Keywords

computational complexity; fractals; image resolution; rendering (computer graphics); transforms; 2D image plane; 2D inverse fractal transform; 3D fractal coefficients; fractal volume rendering algorithm; image processing; iterative convergent process; memory complexity; progressive refinement; ray casting technique; rendering quality; sub-image generation; time complexity; volumetric data visualization; Casting; Computed tomography; Data visualization; Fractals; Image converters; Image generation; Image processing; Magnetic resonance imaging; Monte Carlo methods; Rendering (computer graphics);

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660386

Filename

1660386