Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction - Archive ouverte HAL
Conference Papers Year : 2019

Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction

Abstract

In this work, we consider an additive white Gaussian noise (AWGN) model on the image patches in the context of patch-based image denoising. From this, we propose a derivation of the induced models on the centered patch of noise and on the DC component of the noise. These models allow us to treat separately the two component. We provides experiments with the HDMI method [1] that lead to denoising quality improvements, particularly for residual low frequency noise.
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Dates and versions

hal-02024205 , version 1 (19-02-2019)
hal-02024205 , version 2 (22-02-2019)

Identifiers

Cite

Antoine Houdard. Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction. 2019 27th European Signal Processing Conference (EUSIPCO), Sep 2019, La Corogne, Spain. ⟨10.23919/EUSIPCO.2019.8903131⟩. ⟨hal-02024205v2⟩
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