Cell-average multiresolution based on local polynomial regression. application to image processing
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Publication:278560
DOI10.1016/j.amc.2014.07.079zbMath1335.94007OpenAlexW2018909497MaRDI QIDQ278560
Francesc Aràndiga, Dionisio F. Yáñez
Publication date: 2 May 2016
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2014.07.079
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (6)
Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images ⋮ Non-linear Local Polynomial Regression Multiresolution Methods Using $$\ell ^1$$-norm Minimization with Application to Signal Processing ⋮ Human motion classification using 2D stick-model matching regression coefficients ⋮ Non-consistent cell-average multiresolution operators with application to image processing ⋮ Cell-filtering-based multi-scale Shannon–Cosine wavelet denoising method for locust slice images ⋮ On the use of generalized harmonic means in image processing using multiresolution algorithms
Uses Software
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