Image Denoising Methods - A Three Way Comparison
نویسنده
چکیده
Removal of noise is an important step in the image restoration process, and remains a challenging problem in spite of the sophistication of recent research. Popular approaches can be categorized in various ways, a classical one of which involves minimization of variation in an image. This report presents a comparison of three such classical image denoising methods, all minimizing the variation of an image H Regularization, Bounded Variation (BV) Regularization and a Primal Dual Hybrid Gradient (PDHG) scheme. These algorithms are compared based on their assumptions and shortcomings using a methodology that examines the rate of convergence, signal-to-noise ratio (SNR), and overall quality of the denoised image.
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