Using disparity map compensation for stereo image coding
In order to compress stereo image pairs effectively, disparity compensation is most widely used. In this paper we examined the performances of using different disparity maps and their properties. These properties include the block size, estimation method and the resulting entropy of the disparity map. Experimental results show that basic block matching gives better results than ground truth, especially on occluded regions and boundaries.