Wyniki wyszukiwania - BazTech

Ograniczanie wyników

1 Opto-Electronics Review

1 2024

Znaleziono wyników: 1

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: dataset augmentation

Sortuj według:

Ogranicz wyniki do:

Application of a deep-learning neural network for image reconstruction from a single-pixel infrared camera

Urbaś Sebastian, Więcek Bogusław

Opto-Electronics Review

2024

Vol. 32, No. 1

art. no. e148877

The article presents the simulation results of a single-pixel infrared camera image reconstruction obtained by using a convolutional neural network (CNN). Simulations were carried out for infrared images with a resolution of 80 × 80 pixels, generated by a low-cost, low-resolution thermal imaging camera. The study compares the reconstruction results using the CNN and the ℓ₁ reconstruction algorithm. The results obtained using the neural network confirm a better quality of the reconstructed images with the same compression rate expressed by the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM).