Multiresolution decomposition schemes using the parameterized logarithmic image processing model with application to image fusion
作者： Shahan C. Nercessian , Karen A. Panetta , Sos S. Agaian
DOI: 10.1155/2011/515084
关键词:
摘要: New pixel- and region-based multiresolution image fusion algorithms are introduced in this paper using the Parameterized Logarithmic Image Processing (PLIP) model, a framework more suitable for processing images. A mathematical analysis shows that (LIP) model standard operators extreme cases of PLIP operators. Moreover, also have ability to take on between LIP based visual requirements input PLIP-based decomposition schemes developed thoroughly applied as synthesis methods. The new rules yield novel which able provide visually pleasing results. LIP-based approaches consequently formulated due generalized nature model. Computer simulations illustrate proposed Laplacian Pyramid, DiscreteWavelet Transform, Stationary Wavelet Transform outperform their respective traditional by both qualitative quantitative means. were tested over range different classes, including out-of-focus, medical, surveillance, remote sensing
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