Lossless image compression using super-spatial prediction of structural components
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Context-based defading of archive photographs
Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
Wavelet steerability and the higher-order Riesz transform
IEEE Transactions on Image Processing
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We propose a simple and efficient technique for designing translation invariant dyadic wavelet transforms (DWTs) in two dimensions. Our technique relies on an extension of the work of Duval-Destin et al. (1993) where dyadic decompositions are constructed starting from the continuous wavelet transform. The main advantage of this framework is that it allows for a lot of freedom in designing two-dimensional (2-D) dyadic wavelets. We use this property to construct directional wavelets, whose orientation filtering capabilities are very important in image processing. We address the efficient implementation of these decompositions by constructing approximate QMFs through an L 2 optimization. We also propose and study an efficient implementation in the Fourier domain for dealing with large filters