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Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers, present latency due to several iterations implemented in, e.g., graphics processing units (GPUs).
Feb 4, 2024
Feb 26, 2024 · 'De-noising' is such a blunt term for scientific image analysis (SIA) - it is more appropriate for laymen trying to make photos 'look better' with photo- ...
Apr 25, 2024 · At its heart, this method revolves around the principle of leveraging the average values within a neighborhood to execute approximate calculations. This ...
Mar 25, 2024 · The method uses bursts of noisy images for self-supervised denoiser training, where one image from the burst is used as input and the rest are used for ...
Dec 20, 2023 · Image denoising is an essential task in image processing that aims to remove noise from images while preserving their underlying structure and details [1]. With ...
Feb 5, 2024 · This all-optical image denoising framework offers several important advantages, such as low power consumption, ultra-high speed, and compact size. The research ...
Dec 12, 2023 · Abstract. Image enhancement deep neural networks (DNN) can improve signal to noise ratio or resolution of optically collected visual information.
Jan 19, 2024 · Wavelet-based denoising is a popular method for reducing noise in CT images. This method involves decomposing the image into different frequency bands using ...
Aug 12, 2024 · Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing ...