Dezembro 2020 vol. 7 num. 2 - VI Simpósio Internacional de Inovação e Tecnologia

Artigo completo - Open Access.

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IMAGE QUALITY ENHANCEMENT OF SCANNED PHOTOS:COMPARISON OF DEEP LEARNING TECHNIQUES

MELHORIA DA QUALIDADE DE IMAGEM DE FOTOS DIGITALIZADAS: COMPARAÇÃO DAS TÉCNICAS DE APRENDIZAGEM PROFUNDA

Santos, Victor Rocha ; Pagano, Tiago ; Kirstene , Lucas ; Ortega , Lucas ; Matos, Maíra ; Paranhos, José Vinícius ; Winkler, Ingrid ; Nascimento, Erick Giovani Sperandio ;

Artigo completo:

Currently, millions of photos are captured daily, and several factors caninfluence the quality of an image, causing distortions. Research has shown that thereare several ways to remove defects from images. This study aims to comparativelyanalyze the potential of Deep Learning techniques to improve scanned images withshadow, glare, crumpled paper, external lightning, change of perspective and wavedistortion defects. Based on a review of the literature on recent deep learningarchitectures, we have selected three, which were trained and refined to improve thequality of the images. The results indicate that the nets were able to attenuate andremove some defects. On this basis, these initial experiments demonstrate that deeplearning models are promising for the studied defects.

Artigo completo:

O objetivo deste trabalho é analisar comparativamente o potencial de técnicas de aprendizagem profunda para melhorar imagens digitalizadas com defeitos de sombra, reflexo de luz, papel amassado, luminosidade, mudança de perspectiva e ondulação. Com base em uma revisão da literatura sobre arquiteturas recentes de aprendizagem profunda, selecionamos três técnicas para remoção destes defeitos em imagens. Os resultados obtidos apontaram que as redes conseguiram atenuar alguns defeitos com intensidades variadas e, em alguns casos, removê-los. Conclui-se que estes experimentos iniciais demonstram que modelos de aprendizagem profunda são bastante promissores para a resolução de alguns dos defeitos estudados e que avanços significativos foram alcançados na melhoria da qualidade das imagens.

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Palavras-chave: : Deep Learning; Image enhancement; Image denoising,

Palavras-chave: Aprendizagem profunda; Melhoria da qualidade de imagens;Remoção de ruídos em imagens,

DOI: 10.5151/siintec2020-IMAGEQUALITY

Referências bibliográficas
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Como citar:

Santos, Victor Rocha ; Pagano, Tiago ; Kirstene , Lucas ; Ortega , Lucas ; Matos, Maíra ; Paranhos, José Vinícius ; Winkler, Ingrid ; Nascimento, Erick Giovani Sperandio ; "IMAGE QUALITY ENHANCEMENT OF SCANNED PHOTOS:COMPARISON OF DEEP LEARNING TECHNIQUES", p. 626-634 . In: Anais do VI Simpósio Internacional de Inovação e Tecnologia. São Paulo: Blucher, 2020.
ISSN 2357-7592, ISBN: 2357-7592
DOI 10.5151/siintec2020-IMAGEQUALITY

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