Results 101 to 110 of about 56,033 (246)

Brain MRT image super resolution using discrete cosine transform and convolutional neural network

Научно-технический вестник информационных технологий, механики и оптики
High Resolution (HR) images have numerous applications, such as video conferencing, remote sensing, medical imaging, etc. Furthermore, a few challenges with the super resolution algorithms of magnetic resonance brain images are now obtainable, namely ...
P. Singh, D. Ganotra
doaj   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

Enhancing Data Security through Digital Image Steganography: An Implementation of the Two Least Significant Bits (2LSB) Method

International Journal of Graphic Design
The rapid advancement of digital communication technologies has heightened the demand for robust data security methods, particularly for safeguarding sensitive information against cyber threats.
Fitro Nur Hakim, Muhammad Sholikhan
doaj   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu, Xuanyu Zhang, Xiandong Meng, Jian Zhang   +3 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan, Xiaoxiao Chen, Hanbing Yao, Yujia Xu, Shiqi Xu, Shihao Zhao, Yulun Wu, Yingting Dai, Yubing Chen, Shuqing Ma, Qiongying Zhang, Ying Zhou, Ali Asghar Heidari, Huiling Chen, Yangping Shentu   +14 more
wiley   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

High Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao, Jiamin Guo, Erbao Dong, Rui Guo, Linkun Zhao, Chaoqun Wang, Xuewen Rong, Yibin Li   +7 more
wiley   +1 more source

Splatshop: Efficiently Editing Large Gaussian Splat Models

Computer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer   +5 more
wiley   +1 more source

Non-local Attention Optimized Deep Image Compression

, 2019
This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure.
Cao, Xun, Chen, Tong, Guo, Peiyao, Liu, Haojie, Ma, Zhan, Shen, Qiu, Wang, Yao   +6 more
core  

VividHairEdit: Disentangled Latent Control for High‐Fidelity Hairstyle Transfer via StyleGAN2 Inversion

Computer Graphics Forum, EarlyView.
VividHairEdit is an advanced StyleGAN2 inversion system for high‐fidelity hair transfer and editing. Our system features improved structural integration, vibrant appearance representation, and optimized latent code selection, achieving superior generation quality and usability. A user‐friendly sketch interface enables precise modifications that reflect
Eunyeong Choi, Sihun Jin, Dongjoon Kim
wiley   +1 more source