Results 81 to 90 of about 5,054,495 (195)

A Remote Sensing Image Super-Resolution Reconstruction Model Combining Multiple Attention Mechanisms

Sensors
Remote sensing images are characterized by high complexity, significant scale variations, and abundant details, which present challenges for existing deep learning-based super-resolution reconstruction methods.
Yamei Xu, Tianbao Guo, Chanfei Wang
doaj   +1 more source

Classification of Skin Diseases Using Transfer Learning with ResNet-50 Architecture and Data Preprocessing Using Real-ESRGAN and Wiener Filter [PDF]

The skin is a vital organ which serves as a barrier against external factors, yet it’s highly susceptible to diseases. These diseases are often presented as lesions with similar appearances, making it difficult to be diagnosed and prone to human errors ...
Jiemesha, Micheila, Wonohadidjojo, Daniel Martomanggolo   +1 more
core   +2 more sources

A Joint Framework of GFP-GAN and Real-ESRGAN for Real-World Image Restoration

International Journal of Innovative Technology and Exploring Engineering
In the current era of digitalization, the restoration of old photos holds profound significance as it allows us to preserve and revive cherished memories. However, the limitations imposed by various websites offering photo restoration services prompted our research endeavor in the field of image restoration.
Mousumi Hasan, Nusrat Jahan Nishat, Tanjina Rahman, Mujiba Shaima, Quazi Saad ul Mosaher, Mohd. Eftay Khyrul Alam   +5 more
openaire   +2 more sources

Perbaikan Citra Medis Low-Resolution Menggunakan REAL-ESRGAN

Citra medis memegang peranan vital dalam diagnosis klinis dan penanganan pasien, namun kualitasnya sering kali terdegradasi akibat keterbatasan perangkat, noise, dan resolusi rendah yang menghambat kemudahan dokter dalam menganalisis citra.
Hidayanto, Atha Dzaky
core  

Joint Cloud-Resilient Super-Resolution and Restoration Using AlphaEarth Foundation Embeddings

IEEE Access
Satellite-based remote sensing is a valuable source of spatial data for monitoring vast territories, yet the availability of high-resolution (HR) imagery remains a major bottleneck.
Evgeny Burnaev, Svetlana Illarionova, Usman Tasuev, Ivan Rubin, Dmitrii Shadrin, Albert Efimov, Jin Liu, Nikita Belyakov, Wangmeng Zuo   +8 more
doaj   +1 more source

Self-attention augmented blind super-resolution with advanced Sobel loss for remote sensing images

European Journal of Remote Sensing
Super-resolution (SR) is one of the core means to obtain high-spatial-resolution images for remote sensing Earth observation. Existing SR methods rely on paired multi-resolution images acquired under identical spatiotemporal conditions, and their ...
Xin Zuo, Zhiqiang Wen, Chongbin Xu, Guoshuai Li, Qian Chen, Xiaomin Sun, Yu Wu   +6 more
doaj   +1 more source

Evaluation of latent diffusion enhanced face recognition under forensic image degradations

Discover Computing
Forensic face recognition systems face critical performance degradation when processing low-quality evidence imagery. This study presents a systematic evaluation of latent diffusion-based image enhancement as a preprocessing step for face recognition ...
Hassan Ugail, Hamad Mansour Alawar, Abdulnasser Abbas Zehi, Ahmed Mohammad Alkendi, Ismail Lujain Jaleel   +4 more
doaj   +1 more source

MRI-based brain tumor ensemble classification using two stage score level fusion and CNN models

Egyptian Informatics Journal
This paper proposes a novel two-stage approach to improve brain tumor classification accuracy using the Br35H MRI Scan Dataset. The first stage employs advanced image enhancement algorithms, GFPGAN and Real-ESRGAN, to enhance the image dataset’s quality,
Oussama Bouguerra, Bilal Attallah, Youcef Brik   +2 more
doaj   +1 more source

IMPLEMENTASI REAL-ESRGAN UNTUK PENINGKATKAN RESOLUSI CITRA BANGUNAN BERSEJARAH DI INDONESIA

Nusantara of Engineering (NOE)
Pelestarian citra bangunan bersejarah dalam bentuk digital di Indonesia menghadapi tantangan kualitas visual akibat degradasi seperti blur, noise, resize dan kompresi. Citra dari Leiden University Libraries mengalami degradasi visual akibat proses digitalisasi, usia dokumen, serta keterbatasan teknologi dokumentasi sehingga jenis degradasi pada citra ...
Ananda Feri Setyawan, Ananda Feri Setyawan, Sri Mulyono   +2 more
openaire   +2 more sources

Mangrove extraction from super-resolution images generated by deep learning models

Ecological Indicators
Mangroves are an essential component of coastal ecosystems. Accurate and effective identification and extraction of mangrove areas from remote sensing imagery is crucial for monitoring changes in the nearshore ecological environment.
Yu Hong, Xiang Que, Zhe Wang, Xiaogang Ma, Hui Wang, Sanaz Salati, Jinfu Liu   +6 more
doaj   +1 more source