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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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https://hal.archives-ouvertes.fr/hal-02024205
Contributor : Antoine Houdard <>
Submitted on : Friday, February 22, 2019 - 2:40:39 PM
Last modification on : Monday, October 12, 2020 - 8:18:21 PM
Long-term archiving on: : Thursday, May 23, 2019 - 2:03:26 PM

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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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