IEEE

Super-Resolution of Noisy Images Using L-Estimate Compressive Sensing Filter and Cnn Approach

Abstract: This paper proposes an approach for super-resolution of images corrupted by impulse noise by integrating iterative image reconstruction with convolutional neural networks (CNNs). While CNNs ...
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CNN insider sounds alarm over Kaitlan Collins' 'elite' image

A CNN insider reportedly issues a “wake-up call” to Kaitlan Collins as her presence at an exclusive no-journalists party sparks backlash and questions about her image. Quadruple amputee cornhole ...
IEEE

A Compressive Super-Resolution Imaging Algorithm for Multi-Frequency Near-Field Millimeter-Wave

Abstract: Two-dimensional (2-D) near-field millimeter-wave (MMW) imaging systems face challenges in achieving highresolution (HR) images due to constraints in device size and sampling time. These ...
Live Science

'Super El Niño' could push global temperatures to unprecedented highs, forecasters say

A "super El Niño" could emerge by the end of the 2026 hurricane season, with forecasters predicting that the ongoing La Niña is about to finish. When you purchase through links on our site, we may ...
IEEE

Super-Resolution Reconstruction of Railway Perimeter Target Images Based on the Fusion of CNN and Transformer

Abstract: To address the low resolution, blurred details, and high computational cost of railway perimeter images, we propose RPIT, a hybrid model combining a lightweight CNN and an enhanced ...
CNN

Astronomers capture the most detailed image yet of our galaxy’s center

Scientists have captured the most complete, high-resolution map of the cold gas at the center of the Milky Way, which contains the raw material from which stars and planets are made. Information from ...
IEEE

FPGA Implementation of Image Super-Resolution Based on Bicubic Interpolation and CNN

Abstract: In the field of GPU graphics processing, pixel performance is often the bottleneck of system performance. Reducing the load of the pixel engine is of great significance to improving the ...
IEEE

Single Image Blind Super-Resolution Algorithm Based on Multiple Degradation Types Guidance

Abstract: Existing blind super-resolution methods face two main challenges when handling multiple degradation types: the degradation feature representations extracted by deep networks are incomplete ...
IEEE

Deep Unfolding Real-Time Super-Resolution Using Subpixel-Shift Twin Image and Convex Self-Similarity Prior

Abstract: Multi-image super-resolution (MISR) is a critical technique for satellite remote sensing. In the perspective of information, twin-image super-resolution (TISR) is regarded as the most ...