A robust and efficient pre processing techniques for stereo images

Pre processing of images is a very crucial step for any Stereo images. Stereo vision is widely used research topic. Several algorithms have been used to find the disparity map from the stereo image pairs. But, when matching algorithms are used for real world images, especially outdoor image sequences, they do not produce expected result as they produce for standard stereo image pairs. Pre processing is necessary due to illumination difference, Camera orientation, noise. Traditional Pre processing involves noise removal, deblurring, contrast enhancement. Pre processing techniques aims at improving the image quality which helps in future processing. In this paper Median filter is used for denoising, Wiener filter is used for deblurring and contrast enhancement is done by Histogram Equalization. Using combination of these filters better quality images was obtained.

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