Results 51 to 60 of about 511,982 (176)
Image restoration using deep learning [PDF]
We propose a new image restoration method that reduces noise and blur in degraded images. In contrast to many state of the art methods, our method does not rely on intensive iterative approaches, instead it uses a pre-trained convolutional neural ...
De Vylder, Jonas +3 more
core +1 more source
Deep Graph Laplacian Regularization for Robust Denoising of Real Images
Recent developments in deep learning have revolutionized the paradigm of image restoration. However, its applications on real image denoising are still limited, due to its sensitivity to training data and the complex nature of real image noise.
Cheung, Gene +3 more
core +1 more source
IMAGE RESTORATION: DESIGN OF NON-LINEAR FILTER (LR) [PDF]
In this proposed method, various types of noise models are subjected to an image and apply the nonlinear filter to reconstruct the original image from degraded image. Image restoration is a technique to attempt of reconstructs the original image by using
Shenbagarajan Anantharajan +3 more
doaj
An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
Image restoration is a crucial task in computer vision, aiming to fill in missing areas within an image to restore its integrity. Traditional methods fall short when dealing with intricate facial image restoration, often failing to produce high-quality ...
Yun Pang +4 more
doaj +1 more source
To better protect and restore ancient mural art, this study proposes an improved adaptive sample block Criminisi algorithm to address the shortcomings of traditional manual restoration methods.
Xiujie Wu
doaj +1 more source
Digital Restoration of Ancient Papyri
Image processing can be used for digital restoration of ancient papyri, that is, for a restoration performed on their digital images. The digital manipulation allows reducing the background signals and enhancing the readability of texts.
Sparavigna, Amelia
core
Image restoration is an integral component of computer vision that tries to restore pictures that have been deteriorated or corrupted to their original or enhanced condition. In this study, we look into the wide-ranging terrain of picture restoration techniques, which includes both conventional filter-based approaches and cutting-edge deep learning ...
Nakul Kumar Gupta, Dr.S.K.Manju Bargavi
openaire +1 more source
Interactive Entertainment Image Restoration Method Based on Hopfield Neural Network
The traditional image restoration methods of interactive entertainment are based on the original data. This paper proposes an interactive entertainment image restoration method based on Hopfield neural network. Firstly, the nonlinear mapping relationship
lv Shuangqing
doaj +1 more source
In this paper, we propose a new image inpainting algorithm that relies on explicit edge information. The edge information is used both for the reconstruction of a skeleton image structure in the missing areas, as well as for guiding the interpolation that follows. The structure reconstruction part exploits different properties of the edges, such as the
Rares, A. (author) +2 more
openaire +4 more sources
Compressed sensing image restoration algorithm based on improved SURF operator
Aiming at the excellent descriptive ability of SURF operator for local features of images, except for the shortcoming of global feature description ability, a compressed sensing image restoration algorithm based on improved SURF operator is proposed. The
Zhou Guodong +2 more
doaj +1 more source

