GENERATING COMPLEMENTARY GRAY-LEVEL IMAGES FOR OBJECT RECOGNITION EXPERIMENTS USING GABOR WAVELET DECOMPOSITION

We present a software image processing methodology to generate complementary gray-scale images for visual perception experiments examining the interaction between the spatial localization and orientation sensitivity of visual perception. Specifically, our system is able to selectively mask or unmask specific resolutions, positions, and/or orientations of an input gray-level image using Gabor wavelet decomposition. The resulting representations are then combined to obtain partially reconstructed images for novel psychophysical experimentations.