A least-squares-based 2-D filtering scheme for stereo image compression

A two-dimensional (2-D) least squares (LS)-based filtering scheme for high fidelity stereo image compression applications is introduced in this corres pondence. This method removes the effects of mismatching in a stereo image pair by applying the left image as the reference input to a 2-D transversal filter while the right image is used as the desired output. The weights of the filter are computed using a block-based LS method. A reduced order fil tering scheme is also introduced to find the optimum number of filter coeff icients. The principal coefficients and the disparity vectors are used toge ther with left image to reconstruct the right image at the receiver. The pr oposed schemes were examined on a real stereo image pair for 3DTV applicati ons and the results were benchmarked against those of the block-matching me thod.