Compressing Stereo Images in Discrete Fourier Transform domain

Abstract

Frequency features of stereo images are investigated in the DFT (Discrete Fourier Transform) domain by characterizing phase and magnitude properties originated from the horizontal disparities in the stereo images. Also, the well-known DFT properties including the conjugate symmetry property are utilized to identify essential frequency components of stereo images. Our investigation reveals that the DFT of the stereo images has useful properties that can prioritize the DFT coefficients for compact representations and compressions.