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In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and Peleg iterative ...
Oct 22, 2024 · In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and ...
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This paper first proposes a structure that simulates the feature extraction function in the visual attention mechanism in the convolutional neural network.
Information distillation network is a lightweight super-resolution reconstruction network, which has the advantages of fast running speed and few network ...
This study proposes an improved super-resolution reconstruction algorithm. Initially, the algorithm replaces the Dense Block (DB) module of ESRGAN with a Multi ...
Nov 21, 2023 · This paper studies the super-resolution reconstruction technology of infrared images and visible light images.
Jun 10, 2021 · The reconstruction process is divided into three stages, making a great contribution to the neural network processing super-resolution images. • ...
Jul 6, 2024 · An edge-enhanced infrared image super-resolution reconstruction model TESR under transformer is proposed. The main structure of this model is transformer.
The reconstructed image achieves better visual effect and higher peak signal to noise ratio (PSNR). The IBP algorithm has less estimation error and faster ...
Based on pseudo texture transfer, an infrared image super-resolution reconstruction algorithm is proposed in this paper.