Title :
3D Image format identification by image difference
Author_Institution :
Technicolor Res. & Innovation, Princeton, NJ, USA
Abstract :
Many 3D formats exist and will co-exist for a long time since there is no 3D standard that defines a generally accepted 3D format. The support for multiple 3D formats will be important for bringing 3D into home. In this paper, we propose a fast and effective method to detect whether an image is a 2D image or a 3D image encoded with a pair of stereo images, and to further identify the exact 3D format in the latter case. The proposed method computes an edge map resulted from image differences between the left and right view images; uses the statistics from the distribution of edge widths combined with structure similarity analysis to detect the existence of a 3D format and to identify the format. Experiments show the effectiveness of this method.
Keywords :
statistical analysis; statistical distributions; stereo image processing; video signal processing; 3D image format identification; edge width distribution; image difference; stereo images; structure similarity analysis; Histograms; Image edge detection; Pixel; Sampling methods; TV; Three dimensional displays; Videos; 3D image format; 3DTV; Stereo; checkerboard pattern; edge map; horizontal interleaved format; image difference; image subtraction; over-under format; side-by-side format;
Conference_Titel :
Multimedia and Expo (ICME), 2010 IEEE International Conference on
Conference_Location :
Suntec City
Print_ISBN :
978-1-4244-7491-2
DOI :
10.1109/ICME.2010.5583183