Wavelet-Based Reconstruction of Irregularly-Sampled Images: Application to Stereo Imaging

We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a wavelet representation of the image. For this representation we use a biorthogonal spline wavelet basis implemented on an oversampled grid. We apply the developed algorithm to disparity-compensated stereoscopic image interpolation. Under disparity compensation, the resulting sampling grids are irregular and require the irregular/regular interpolation. We show experimental results on real-world images and we compare our results with other methods proposed in the literature.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Carlos Vázquez, Eric Dubois, Janusz Konrad
• Keywords: ICIP 2000, Image Processing, Spline Wavelet Basis, Stereoscopic Image Interpolation, Wavelet Representation