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52 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 1, JANUARY 2001 A 2-D Filtering Scheme for Stereo Image
 

Summary: 52 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 1, JANUARY 2001
A 2-D Filtering Scheme for Stereo Image
Compression Using Sequential Orthogonal
Subspace Updating
Sang-Hoon Seo and Mahmood R. Azimi-Sadjadi, Senior Member, IEEE
Abstract--Stereo image compression involves estimating the dis-
parity vectors that represent the amount of binocular parallax. The
mismatching problems between the left and right images greatly
impact the accuracy of the reconstructed image, and hence the vi-
sual effects of the reproduced 3-D image. This paper presents a
new method for compensating the mismatching effects in stereo
image pairs. This 2-D filtering-based scheme uses a sequential or-
thogonal subspace updating (SOSU) process to project an image
block onto a subset of best-basis vectors. The basis vectors are se-
lected one by one from the neighboring blocks, as well as some
typical edge blocks, forming an image-dependent set of basis vec-
tors. This leads to the optimal representation of an image block
with fewer coefficients. Simulation results on two different image
pairs demonstrate the effectiveness of the SOSU scheme when com-
pared to those of the standard least squares 2-D filtering and the

  

Source: Azimi-Sadjadi, Mahmood R. - Department of Electrical and Computer Engineering, Colorado State University

 

Collections: Computer Technologies and Information Sciences