Results 81 to 90 of about 153,211 (306)

H.A. Cohen, Image Restoration via N-nearest neighbour classification, Proc IEEE Int'l Conference on Image Processing, ICIP'96, Lausanne (Switzerland), Sept 16-19, 1996. Vol 1 , pp 1005-1008.

open access: yes, 2007
A novel and powerful perspective on image reconstruction and restoration is to regard the computational objective as the classification of corrupt (= unclassified) pixels using the classification of the nearest uncorrupt (classified) pixels.
Image Restoration Via, Harvey A. Cohen
core  

Alternating direction method of multipliers for nonlinear image restoration problems

open access: yes, 2015
© 2014 IEEE. In this paper, we address the total variation (TV)-based nonlinear image restoration problems. In nonlinear image restoration problems, an original image is corrupted by a spatiallyinvariant blur, the build-in nonlinearity in imaging system,
Zhao, Xi Le, Chen, Chuan, Ng, Michael K.
core   +1 more source

Interactive Entertainment Image Restoration Method Based on Hopfield Neural Network

open access: yesMATEC Web of Conferences, 2018
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

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

open access: yesMolecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni   +11 more
wiley   +1 more source

Denoising Techniques Based on the Multiresolution Representation [PDF]

open access: yes
So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used ...
Viorica STEFANESCU   +3 more
core   +1 more source

Image restoration via simultaneous nonlocal self-similarity priors

open access: yes, 2020
Through exploiting the image nonlocal self-similarity (NSS) prior by clustering similar patches to construct patch groups, recent studies have revealed that structural sparse representation (SSR) models can achieve promising performance in various image ...
Yuan, Xin   +4 more
core   +1 more source

Compressed sensing image restoration algorithm based on improved SURF operator

open access: yesOpen Physics, 2018
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

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

No-Reference Image Quality Assessment for Defocus Restoration

open access: yes, 2016
Even though both full-reference and no-reference image quality assessments are extensively applied to evaluate degraded images e.g. blurred, noised, compressed and distorted, few of them especially the no-reference species are suitable for image ...
Shi ZL(史泽林)   +3 more
core  

Detection of dirt impairments from archived film sequences : survey and evaluations

open access: yes, 2010
Film dirt is the most commonly encountered artifact in archive restoration applications. Since dirt usually appears as a temporally impulsive event, motion-compensated interframe processing is widely applied for its detection. However, motion-compensated
Ren, Jinchang, Vlachos, T.
core   +1 more source

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