Results 121 to 130 of about 11,782,843 (259)
Semi-blind image restoration based on Chan-Vese denoising model
, 2008 A semi-blind image restoration algorithm is proposed based on reduced non-convex approximation of Luminita Vese and Tony Chan's(C-V)denoising model.Compared with C-V denoising model,we modify the fidelity term and add a term on point spread function ...
Tang YD(唐延东), Wang ZF(王智峰)
core
Combined image compression and denoising using wavelets
, 2007 This paper presents a novel scheme for simultaneous compression and denoising of images: WISDOW-Comp (Wavelet based Image and Signal Denoising via Overlapping Waves-Compression).
D. Vitulano, BRUNI, VITTORIA
core +1 more source
Principal components for non-local means image denoising [PDF]
, 2008 This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising.
Tolga Tasdizen, Tasdizen, Tolga
core +1 more source
The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells
Advanced Science, EarlyView.Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato +9 more
wiley +1 more source
Equivariant Denoisers for Image Restoration
One key ingredient of image restoration is to define a realistic prior on clean images to complete the missing information in the observation. State-of-the-art restoration methods rely on a neural network to encode this prior. Moreover, typical image distributions are invariant to some set of transformations, such as rotations or flips.
Renaud, Marien +2 more
openaire +3 more sources
Wavelet transform based error concealment approach for image denoising
, 2006 Denoising of images in compressed wavelet domain has potential application in transmission technology such as mobile communication. In this paper, we present a new image denoising scheme based on restoration of bit-planes of wavelet coefficients in ...
Kanhirodan, Rajan, Gupta, Pradeep K
core
, 2019 Modern smartphone images go through very heavy image processing before they are, for example stored, transmitted or presented on the screen. Image denoising, a process of removing noise, is one of the very first steps in smartphone image processing ...
Tanskanen, Olli
core
Advanced Science, EarlyView.By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source
Advanced Science, EarlyView.CDegSR, a new tool for imaging RNA at single molecule level in living cells was developed by researchers. Background noise was eliminated by protein engineering and making it degrade when not bound to its target. This allowed individual RNA molecules to be clearly imaged and tracked.
Shipeng Shao, Hongchen Zhang
wiley +1 more source
Advanced Science, EarlyView.Based on genome size‐functional breadth theory, we introduce and validate a framework that adjudicates conflicting average genome size (AGS) estimates by testing which estimate yields a gap between scaled functional diversity and scaled taxonomic diversity that is consistent with the expected positive association between genome size and gene functional
Huanhuan Zhu +8 more
wiley +1 more source