| Autor: |
da Silva, Matheus Henrique Marques, da Silva, Jhessica Victoria Santos, Arrais, Rodrigo Reis, Neto, Wladimir Barroso Guedes de Araújo, Lopes, Leonardo Tadeu, Bileki, Guilherme Augusto, Lima, Iago Oliveira, Rondon, Lucas Borges, de Souza, Bruno Melo, Regazio, Mayara Costa, Dalapicola, Rodolfo Coelho, Santos, Claudio Filipi Gonçalves dos |
| Rok vydání: |
2023 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
The entire Image Signal Processor (ISP) of a camera relies on several processes to transform the data from the Color Filter Array (CFA) sensor, such as demosaicing, denoising, and enhancement. These processes can be executed either by some hardware or via software. In recent years, Deep Learning has emerged as one solution for some of them or even to replace the entire ISP using a single neural network for the task. In this work, we investigated several recent pieces of research in this area and provide deeper analysis and comparison among them, including results and possible points of improvement for future researchers. |
| Databáze: |
arXiv |
| Externí odkaz: |
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