Artificial intelligence in the creative industries: a review
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …
applications in the context of the creative industries. A brief background of AI, and …
Brief review of image denoising techniques
L Fan, F Zhang, H Fan, C Zhang - Visual Computing for Industry …, 2019 - Springer
With the explosion in the number of digital images taken every day, the demand for more
accurate and visually pleasing images is increasing. However, the images captured by …
accurate and visually pleasing images is increasing. However, the images captured by …
Spectral enhanced rectangle transformer for hyperspectral image denoising
Denoising is a crucial step for hyperspectral image (HSI) applications. Though witnessing
the great power of deep learning, existing HSI denoising methods suffer from limitations in …
the great power of deep learning, existing HSI denoising methods suffer from limitations in …
Variational denoising network: Toward blind noise modeling and removal
Blind image denoising is an important yet very challenging problem in computer vision due
to the complicated acquisition process of real images. In this work we propose a new …
to the complicated acquisition process of real images. In this work we propose a new …
A review on medical image denoising algorithms
SVM Sagheer, SN George - Biomedical signal processing and control, 2020 - Elsevier
Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …
immense attraction due to the rapid development in computing, internet, data storage and …
High-speed three-dimensional photoacoustic computed tomography for preclinical research and clinical translation
Photoacoustic computed tomography (PACT) has generated increasing interest for uses in
preclinical research and clinical translation. However, the imaging depth, speed, and quality …
preclinical research and clinical translation. However, the imaging depth, speed, and quality …
Hyperspectral image denoising employing a spatial–spectral deep residual convolutional neural network
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure to improve the
performance of the subsequent HSI interpretation and applications. In this paper, a novel …
performance of the subsequent HSI interpretation and applications. In this paper, a novel …
Hyperspectral image denoising using a 3-D attention denoising network
Hyperspectral image (HSI) denoising plays an important role in image quality improvement
and related applications. Convolutional neural network (CNN)-based image denoising …
and related applications. Convolutional neural network (CNN)-based image denoising …
Content-aware image restoration: pushing the limits of fluorescence microscopy
Fluorescence microscopy is a key driver of discoveries in the life sciences, with observable
phenomena being limited by the optics of the microscope, the chemistry of the fluorophores …
phenomena being limited by the optics of the microscope, the chemistry of the fluorophores …
Cooperated spectral low-rankness prior and deep spatial prior for HSI unsupervised denoising
Model-driven methods and data-driven methods have been widely developed for
hyperspectral image (HSI) denoising. However, there are pros and cons in both model …
hyperspectral image (HSI) denoising. However, there are pros and cons in both model …