DocumentCode :
669819
Title :
Spatial domain complexity reduction method for depth image based rendering using wavelet transform
Author :
Chih-Hsien Hsia ; Wei-Han Cheng ; Hsin-Ting Li ; Jen-Shiun Chiang
Author_Institution :
Dept. of Electr. Eng., Chinese Culture Univ., Taipei, Taiwan
fYear :
2013
fDate :
12-15 Nov. 2013
Firstpage :
263
Lastpage :
268
Abstract :
Depth Image Based Rendering (DIBR) is an approach to generate a 3-D image by the original 2-D color image with the corresponding 2-D depth map. Although DIBR is a quite convenient technique of converting 2D to 3D images, there is a big problem in DIBR system that it cannot reach real-time processing due to the computing time. Therefore, this paper proposes a method based on discrete wavelet transform and adaptive edge-oriented smoothing process to improve the computing time of the system. The proposed method also preserves the original texture. As a results, this indicate that the proposed method not only preserves the vertical texture but also reduces at least 60% of the computing time of the DIBR system.
Keywords :
image colour analysis; image texture; rendering (computer graphics); wavelet transforms; 2-D color image; 3-D image; DIBR system; adaptive edge-oriented smoothing process; computing time; corresponding 2-D depth map; depth image based rendering; spatial domain complexity reduction method; vertical texture; wavelet transform; Adaptive filters; Color; Discrete wavelet transforms; Image resolution; Information filters; Smoothing methods; Asymmetric Smoothing Filter; DIBR; DWT; Image Warping; Symmetric Smoothing Filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
Conference_Location :
Naha
Print_ISBN :
978-1-4673-6360-0
Type :
conf
DOI :
10.1109/ISPACS.2013.6704558
Filename :
6704558
Link To Document :
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