Results 91 to 100 of about 13,371,751 (387)

DAF‐Retinex: Preserve the image detailed features and restore the reflected image

IET Image Processing
Currently, deep learning methods for low‐light image enhancement tasks mainly focus on the illumination of images, while neglecting the problems of image noise and feature loss.
Shiyu Huang, Zijun Gao, Jue Wang, Bo Li
doaj   +1 more source

DCTE-LLIE: A Dual Color-and-Texture-Enhancement-Based Method for Low-Light Image Enhancement

Computers
The enhancement of images captured under low-light conditions plays a vitally important role in the area of image processing and can significantly affect the performance of following operations.
Hua Wang, Jianzhong Cao, Lei Yang, Jijiang Huang   +3 more
doaj   +1 more source

Super-Resolution Quantum Imaging at the Heisenberg Limit

, 2018
Quantum imaging exploits the spatial correlations between photons to image object features with a higher resolution than a corresponding classical light source could achieve.
Bessire, Bänz, Gasparini, Leonardo, Perenzoni, Matteo, Stefanov, André, Unternährer, Manuel   +4 more
core   +1 more source

Insights into pegRNA design from editing of the cardiomyopathy‐associated phospholamban R14del mutation

FEBS Letters, EarlyView.
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao, Qiangbing Yang, Christian J.B. Snijders Blok, Mark A. Daniels, Pieter A. Doevendans, Raymond Schiffelers, Joost P.G. Sluijter, Zhiyong Lei   +7 more
wiley   +1 more source

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

Research on SSVEP‐EEG feature enhancement algorithm based on fractional differentiation

The Journal of Engineering
Steady‐state visual evoked potentials (SSVEP), significant in brain‐computer interfaces (BCI) and medical diagnostics, benefit from enhanced signal processing for improved analysis and interpretation.
Zenghui Li, Wei Wang, Saijie Yuan, Junpeng Pei, Qianqian Yang, Yousong Wang   +5 more
doaj   +1 more source

Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing

International Journal of Biomedical Imaging, 2016
Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement ...
Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan   +5 more
doaj   +1 more source

Intron‐oriented HTLV‐1 integration in an adult T‐cell leukemia/lymphoma cell line sustains expression of intact ift81 mRNA

FEBS Letters, EarlyView.
In the adult T‐cell leukemia/lymphoma (ATL) cell line ED, the human T‐cell leukemia virus type 1 (HTLV‐1) provirus was integrated into the intron of the ift81 gene in the antisense orientation. Despite this integration, both the intact ift81 and the viral oncogene hbz were simultaneously expressed, likely due to the functional insufficiency of viral ...
Mayuko Yagi, Yuka Hirosawa, Yusaku Sagisaka, Minami Hama, Satoshi Takeda, Jun A. Komano   +5 more
wiley   +1 more source

Multi‐domain pseudo‐reference quality evaluation for infrared and visible image fusion

IET Image Processing
Infrared and visible image fusion involves merging the advantages of infrared and visible images to generate a composite image that encompasses thermal radiation as well as intricate texture details.
Xiangchao Meng, Chaoqi Chen, Qiang Liu, Feng Shao   +3 more
doaj   +1 more source

Natural Color Image Enhancement based on Modified Multiscale Retinex Algorithm and Performance Evaluation usingWavelet Energy

, 2014
This paper presents a new color image enhancement technique based on modified MultiScale Retinex(MSR) algorithm and visual quality of the enhanced images are evaluated using a new metric, namely, wavelet energy. The color image enhancement is achieved by
Hanumantharaju, M. C, Rameshbabu, D. R, Ravishankar, M.   +2 more
core   +1 more source