Results 11 to 20 of about 5,054,495 (195)

Peningkatan Resolusi Video Musik Lawas Indonesia Menggunakan Real ESRGAN X4plus [PDF]

Jurnal Informatika Teknologi Dan Sains
Video musik Indonesia lawas yang diproduksi pada era VCD umumnya memiliki kualitas visual rendah dan degradasi artefak yang signifikan. Penelitian ini mengevaluasi efektivitas model Real?ESRGAN?X4plus dalam meningkatkan resolusi video-video tersebut menggunakan pendekatan super?resolusi berbasis pembelajaran mendalam.
Dhani Ariatmanto, Ema Utami
exaly   +3 more sources

Enhancement of Sentinel-2A Images for Ship Detection via Real-ESRGAN Model

Applied Sciences
Ship detection holds great value regarding port management, logistics operations, ship security, and other crucial issues concerning surveillance and safety. Recently, ship detection from optical satellite imagery has gained popularity among the research
Cemre Fazilet Aldoğan, Koray Aksu, Hande Demirel   +2 more
doaj   +4 more sources

Peningkatan Performa Pengenalan Wajah pada Gambar Low-Resolution Menggunakan Metode Super-Resolution [PDF]

Jurnal Teknologi Informasi dan Ilmu Komputer
Kartu Tanda Penduduk Elektronik (KTP-el) merupakan identitas wajib bagi penduduk Indonesia. Penyimpanan pada cip KTP-el yang mana selain digunakan untuk menyimpan gambar potret wajah individu, juga harus dapat menyimpan identitas lain seperti biodata ...
Muhammad Imaduddin Abdur Rohim, Auliati Nisa, Muhammad Nurkhoiri Hindratno, Radhiyatul Fajri, Gembong Satrio Wibowanto, Nova Hadi Lestriandoko, Pesigrihastamadya Normakristagaluh   +6 more
doaj   +2 more sources

Super-Resolution Reconstruction of Cell Images Based on Generative Adversarial Networks

IEEE Access
In this study, we introduce Light-ESRGAN, a novel cellular image super-resolution reconstruction model utilizing Generative Adversarial Networks (GANs).
Bin Pan, Yifeng Du, Xiaoming Guo
doaj   +2 more sources

Design of Generative Adversarial Network Super‐Resolution Reconstruction Algorithm for Intelligent Security Images

Engineering Reports
In the reconstruction of security images, the current generative adversarial network super‐resolution reconstruction algorithm is prone to generate unrealistic artifacts under high noise and low contrast, and the details of small targets are blurred ...
Yuyao Liu, Qiongyin Peng
doaj   +2 more sources

SP-IGAN: An Improved GAN Framework for Effective Utilization of Semantic Priors in Real-World Image Super-Resolution [PDF]

Entropy
Single-image super-resolution (SISR) based on GANs has achieved significant progress. However, these methods still face challenges when reconstructing locally consistent textures due to a lack of semantic understanding of image categories.
Meng Wang, Zhengnan Li, Haipeng Liu, Zhaoyu Chen, Kewei Cai   +4 more
doaj   +2 more sources

Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection. [PDF]

PLoS ONE
Accurate eye detection in thermal images is essential for diverse applications, including biometrics, healthcare, driver monitoring, and human-computer interaction. However, achieving this accuracy is often hindered by the inherent limitations of thermal
Persiya J, Sasithradevi A
doaj   +2 more sources

'In silico labelling': Exploring the biological landscape at the nanoscale using intelligent multimodal optical microscopy. [PDF]

J Microsc
Abstract Multimodal optical microscopy has recently converged with artificial intelligence (AI) to enable in silico labelling—the computational prediction of fluorescence‐like molecular contrast from label‐free measurements. Fluorescence plays a crucial role in linking microscopy and spectroscopy at molecular level, enabling image formation by means of
Diaspro A, Bianchini P, Bizzarri R, Zanacchi FC, Civita S, Incardona N, Lanzanò L, Morgantini A, Salerno M, Touijer L.   +9 more
europepmc   +2 more sources

REGAN-BS-YOLOv8: A Novel Multi-Scale Storage Grain Pest Detection Model Established by Integrating Real-ESRGAN and Swin Transformer for YOLOv8

AgriEngineering
Accurate detection of grain pests is important for ensuring food security. The existing detection algorithms still face challenges such as low precision, high false positives, and missed detection when identifying storage pests due to the small size ...
Yane Li, Jiaqi Song, Lijun Guo, Xiang Weng, Dalei Song   +4 more
doaj   +3 more sources

Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography

, 2022
The purpose of this study was to finetune a deep learning model, real-enhanced super-resolution generative adversarial network (Real-ESRGAN), and investigate its diagnostic value in calcified coronary plaques with the aim of suppressing blooming ...
Sun, Zhonghua, Ng, Curtise, Curtise K. C. Ng, Ng, Curtise K. C., Zhonghua Sun   +4 more
core   +2 more sources