منابع مشابه
Deep Image Prior
Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic image priors from a large number of example images. In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any le...
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Deep neural networks (DNNs) have shown very promising results for various image restoration (IR) tasks. However, the design of network architectures remains a major challenging for achieving further improvements. While most existing DNN-based methods solve the IR problems by directly mapping low quality images to desirable high-quality images, the observation models characterizing the image deg...
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Finding a robust image prior is one of the fundamental challenges in image recovery problems. Many priors are based on the statistics of the noise source or assumed features (e.g. sparse gradients) of the image. More recently, priors based on convolutional neural networks have gained increased attention, due to the availability of training data and flexibility of a neural network-based prior. H...
متن کاملDeep Prior
The recent literature on deep learning offers new tools to learn a rich probability distribution over high dimensional data such as images or sounds. In this work we investigate the possibility of learning the prior distribution over neural network parameters using such tools. Our resulting variational Bayes algorithm generalizes well to new tasks, even when very few training examples are provi...
متن کاملAdaptive Image Dehazing via Improving Dark Channel Prior
The dark channel prior (DCP) technique is an effective method to enhance hazy images. Dark channel is an image with the same size as the hazy image which represents the haze severity in different places of the image. The DCP method suffers from two problems: it is incapable for removing haze from smooth regions, causing blocking effects on these areas; it cannot properly reduce a haze with a no...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2020
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-020-01303-4