G Gyaneshwar Rao

NTIRE 2025 Challenge on Image Super-Resolution ($\times 4$): Methods and Results

Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang et autres

This paper presents the NTIRE 2025 image super-resolution ($\times 4$) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to recover high-resolution (HR) images from low-resolution (LR) counterparts generated through bicubic downsampling with a$\times …

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool et autres

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge ($\sigma=50$), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without constraints on …

bg, it, gr (code pays fourni par la source)

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool et autres

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without …

Improving presentation consistency of radiographic images using deep learning

Najib Akram Maheen Aboobacker, German Vera Gonzalez, Fengchao Zhang, Justin Wanek et autres

In general X-ray radiography, inconsistency of brightness and contrast in initial presentation is a common complaint from radiologists. Inconsistencies, which may be a result of variations in patient positioning, dose, protocol selection and implant could lead to additional workflow by technologists and …

us (code pays fourni par la source)