Compression of the layered depth image

Author

Duan, Jiangang ; Li, Jin

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2001

fDate

2001

Firstpage

331

Lastpage

340

Abstract

A layered depth image (LDI) is a new popular representation and rendering method for objects with complex geometries. Similar to a 2D image, the LDI consists of an array of pixels. However, unlike the 2D image, an LDI pixel has depth information, and there are multiple layers at a pixel location. In this paper, we develop a novel LDI compression algorithm that handles the multiple layers and the depth coding. The algorithm records the number of LDI layers at each pixel location, and compresses LDI color and depth components separately. For LDI layer with sparse pixels, the data is aggregated and then encoded. An empirical rate-distortion model is used to optimally allocate bits among different components. Compared with benchmark compression tools such as JPEG-2000 and MPEG-4, our scheme improves the compression performance significantly

Keywords

data compression; data structures; image coding; image representation; rate distortion theory; rendering (computer graphics); LDI layers; complex geometry objects; depth coding; depth information; image compression algorithm; image representation; layered depth image; multiple layers; optimal bit allocation; pixel array; rate-distortion model; rendering method; sparse pixels; Cameras; Compression algorithms; Geometry; Image coding; Layout; MPEG 4 Standard; Pixel; Rate-distortion; Rendering (computer graphics); Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 2001. Proceedings. DCC 2001.

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

0-7695-1031-0

Type

conf

DOI

10.1109/DCC.2001.917164

Filename

917164