No-reference image and video quality estimation: Applications and human-motivated design
This paper reviews the basic background knowledge necessary to design effective no-
reference (NR) quality estimators (QEs) for images and video. We describe a three-stage …
reference (NR) quality estimators (QEs) for images and video. We describe a three-stage …
[LIVRE][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
[LIVRE][B] Mathematical problems in image processing: partial differential equations and the calculus of variations
G Aubert, P Kornprobst - 2006 - Springer
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus
of Variations | SpringerLink Skip to main content Advertisement Springer Nature Link Account …
of Variations | SpringerLink Skip to main content Advertisement Springer Nature Link Account …
[HTML][HTML] A noise robust convolutional neural network for image classification
Abstract Convolutional Neural Networks (CNNs) are extensively used for image
classification. Noisy images reduce the classification performance of convolutional neural …
classification. Noisy images reduce the classification performance of convolutional neural …
Digital imaging for cultural heritage preservation
Paintings, frescoes, antique photographic prints, incunabula, old books, handwritten
documents, sculptures, ceramic fragments, and other ancient manufacts constitute the …
documents, sculptures, ceramic fragments, and other ancient manufacts constitute the …
Robust video restoration by joint sparse and low rank matrix approximation
This paper presents a new patch-based video restoration scheme. By grou** similar
patches in the spatiotemporal domain, we formulate the video restoration problem as a joint …
patches in the spatiotemporal domain, we formulate the video restoration problem as a joint …
[PDF][PDF] Распознавание образов
ТС Чернов - 2014 - isa.ru
Распознавание образов Page 1 66 Труды ИСА РАН. Том 67. 1/2017 Введение* Задачи
автоматического ввода и распознавания изображений документов остаются актуальными …
автоматического ввода и распознавания изображений документов остаются актуальными …
[LIVRE][B] Multidimensional signal, image, and video processing and coding
JW Woods - 2011 - books.google.com
Multidimensional Signal, Image, and Video Processing and Coding gives a concise
introduction to both image and video processing, providing a balanced coverage between …
introduction to both image and video processing, providing a balanced coverage between …
[PDF][PDF] Automatic segmentation and inpainting of specular highlights for endoscopic imaging
M Arnold, A Ghosh, S Ameling, G Lacey - EURASIP Journal on Image and …, 2010 - Springer
Minimally invasive medical procedures have become increasingly common in today's
healthcare practice. Images taken during such procedures largely show tissues of human …
healthcare practice. Images taken during such procedures largely show tissues of human …
[PDF][PDF] Robust Low-Tubal-Rank Tensor Completion via Convex Optimization.
Q Jiang, M Ng - IJCAI, 2019 - ijcai.org
This paper considers the problem of recovering multidimensional array, in particular third-
order tensor, from a random subset of its arbitrarily corrupted entries. Our study is based on …
order tensor, from a random subset of its arbitrarily corrupted entries. Our study is based on …