We present a novel probabilistic algorithm for image noise removal. The algorithm is inspired by the Google PageRank algorithm for ranking hypertextual world wide web documents and based upon considering the topological structure of the photometric similarity between image pixels. We provide computationally efficient strategies for obtaining a solution using the conjugate gradient algorithm. Comparisons with other state-of-art denoising filters, namely the total variation minimising filter and the bilateral filter, are made. © 2010 Springer-Verlag.
CITATION STYLE
Gomo, P. (2010). PageRank image denoising. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6111 LNCS, pp. 1–10). https://doi.org/10.1007/978-3-642-13772-3_1
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