1999
DOI: 10.1016/s0097-8493(99)00040-0
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Complex wavelet-based image mosaics using edge-preserving visual perception modeling

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Cited by 17 publications
(6 citation statements)
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References 19 publications
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“…The wavelet transform possesses a nice feature in localizing image information in both the spatial and frequency domains. In addition, the wavelet transform provides a multiresolution hierarchical structure to image representation: it decomposes a function into a smooth approximation of the original function and a set of detailed information at different resolutions [5,9,10]. This leads to the progressiveness of the wavelet-based image processing techniques.…”
Section: Wavelet Transformmentioning
confidence: 99%
See 1 more Smart Citation
“…The wavelet transform possesses a nice feature in localizing image information in both the spatial and frequency domains. In addition, the wavelet transform provides a multiresolution hierarchical structure to image representation: it decomposes a function into a smooth approximation of the original function and a set of detailed information at different resolutions [5,9,10]. This leads to the progressiveness of the wavelet-based image processing techniques.…”
Section: Wavelet Transformmentioning
confidence: 99%
“…Corresponding coefficients between two decomposed images are linearly interpolated to form the multiresolution representation of an intermediate view. Quantization techniques [10,11] can be embedded here to compress the coefficients for the purpose of reducing the morphing complexity. Finally, during the display, compressed images are decoded and an inverse wavelet transform is applied.…”
mentioning
confidence: 99%
“…At the VR lab in the Department of Computing, researchers developed a progressive view morphing method [35] and wavelet-based image mosaics using edge-preserving visual perception modeling [36]. They have also applied multiresolution modeling to virtual design and prototyping [37].…”
Section: Vr Lab Of the Hong Kong Polytechnic Universitymentioning
confidence: 99%
“…There are three main ways to use the variation information, discontinuities, local extrema and the 2D features formed where at least two edges meet. Bao and Xu [30] use edge-preserving visual perception modelling to build mosaics. Kim et al [31] use edges in their graph matching algorithm and use camera focal length to improve stitching reliability, which finds corresponding edges for the matching.…”
Section: Point In 3d Baselinementioning
confidence: 99%