Results 81 to 90 of about 26,933,679 (277)
A No-Reference Quality Assessment Method for Hyperspectral Sharpened Images via Benford’s Law
In recent years, hyperspectral (HS) sharpening technology has received high attention and HS sharpened images have been widely applied. However, the quality assessment of HS sharpened images has not been well addressed and is still limited to the use of ...
Xiankun Hao +5 more
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Full-Reference and Non-Reference Image Quality Assessment Based on Optimization Technique [PDF]
埼玉大学博士(工学)118 p.In this study, we proposed some objective image quality estimation methods for full-reference image quality assessment(FR-IQA ) and no-reference or blind image quality assessment (BIQA ).
YADANAR, KHAING, ヤダナ, カイ
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Mask Reference Image Quality Assessment
Understanding semantic information is an essential step in knowing what is being learned in both full-reference (FR) and no-reference (NR) image quality assessment (IQA) methods. However, especially for many severely distorted images, even if there is an
He, Shuai +3 more
core
Research Progress on Color Image Quality Assessment
Image quality assessment (IQA) aims to measure the consistency between an objective algorithm output and a subjective perception measurement. This article focuses on this complex relationship in the context of color image scenarios—color image quality ...
Minjuan Gao +5 more
doaj +1 more source
A SURVEY ON FULL REFERENCE IMAGE QUALITY ASSESSMENT ALGORITHMS
Image quality measurement is very important for var ious image processing applications such as recognit ion, retrieval, classification, compression, restoration and similar fields. The im ages may contain different types of distortions lik e blur, noise, contrast change etc. So it is essential to rate the image quality approp riately.
openaire +1 more source
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images. [PDF]
Ohashi K +8 more
europepmc +1 more source

