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pro vyhledávání: '"Image decomposition"'
Akademický článek
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Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 3, Pp 2147-2157 (2024)
Medical imaging enables doctors to provide faster and more accurate diagnoses of different conditions. Medical images are generally very dark and frequently exhibit degradations such as poor detail or low contrast, which may impact the accuracy and
Externí odkaz:
https://doaj.org/article/6849d65009694856886ea572e5617342
Autor:
Artyom V. Abakumov, Sergey V. Eremeev
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 6, Pp 1152-1161 (2023)
The rapid increase in the volume of visual information on the internet stimulates the improvement and search for new approaches to solving the problem of image compression. One of the important characteristics in the field of image processing, in p
Externí odkaz:
https://doaj.org/article/02c163a24f004de79c153deaf870091c
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Underwater applications present unique challenges such as color deviation, noise, and low contrast, which can degrade image quality. Addressing these issues, we propose a novel approach called the learnable full-frequency transformer dual generative
Externí odkaz:
https://doaj.org/article/68a45ccfd38a4511b0ca23f87bb5af41
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 9, Pp 231-241 (2023)
Due to the complexity of the spatial environment and poor lighting conditions in underground coal mines, the images obtained by vision devices are prone to problems such as insufficient contrast and poor texture details, which seriously affect the re
Externí odkaz:
https://doaj.org/article/385528945b0d41298539db50a2ae93a8
Publikováno v:
Computational Visual Media, Vol 9, Iss 3, Pp 597-618 (2023)
Abstract Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene properties is ill-posed. Several physically motivated priors have been used to restrict the solution
Externí odkaz:
https://doaj.org/article/01da38f739cb4f7bb5b4e407762fbfd9
Publikováno v:
IEEE Access, Vol 11, Pp 84574-84588 (2023)
In this work, we study the restoration of text low-light images with outdoor scenes without ground truth. Until now, approaches in the literature have avoided using the Retinex decomposition model in an unsupervised way or have added constraining pri
Externí odkaz:
https://doaj.org/article/68dbf0e603fb4cdeacd449480be12fe3
Autor:
Khurram Amjad, William J. R. Christian, Ksenija Dvurecenska, David H. Mollenhauer, Craig P. Przybyla, Eann A. Patterson
Publikováno v:
IEEE Access, Vol 11, Pp 123401-123417 (2023)
Wide-spread availability of low-cost digital sensors has made the acquisition of full-field experimental measurements less challenging, with modern measurement systems, such as X-ray computed tomography, capable of obtaining three-dimensional (3D) da
Externí odkaz:
https://doaj.org/article/03f7cc83388a475bb4b32b7f7d7b8bcd
Publikováno v:
IEEE Access, Vol 11, Pp 41770-41782 (2023)
This paper proposes an image formation model that jointly combines dichromatic and intrinsic image decomposition models. The two decomposition models analyze image formation process from a different perspective, and they can be combined synergistical
Externí odkaz:
https://doaj.org/article/cced5690761f4246ba944c0eddcc5e7f
Publikováno v:
IEEE Access, Vol 11, Pp 40038-40048 (2023)
We present a method that improves the accuracy of depth maps by combining albedo estimation and implicit neural representations to the well-posed shape from shading. Because the estimation of depth information from a single image is an under-constrai
Externí odkaz:
https://doaj.org/article/45246f68fc284b8fb84263b8a8d43134