CVJul 15, 2022

Image and Texture Independent Deep Learning Noise Estimation using Multiple Frames

arXiv:2207.07604v13 citationsh-index: 5
Originality Synthesis-oriented
AI Analysis

This addresses noise estimation in images, but appears incremental as it builds on existing CNN methods with a multi-frame approach.

The paper tackles the problem of image noise estimation by introducing a multiple-frame based convolutional neural network that is independent of image and texture, achieving unspecified results.

In this study, a novel multiple-frame based image and texture independent convolutional Neural Network (CNN) noise estimator is introduced. The estimator works.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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