Breaking through scattering: The H-Net CNN model for image retrieval

The results of this study indicate that H-Net offers an alternative to more complex and computationally expensive models, providing efficient and reliable image reconstruction in scattering media.

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Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-03-24
DOI
https://doi.org/10.1016/j.cmpb.2025.108723
Citations
2
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
2.55

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article

Breaking through scattering: The H-Net CNN model for image retrieval

Roger Chiu, Miguel S. Soriano-García, S. M. Afanador-Delgado, Edgar Villafaña-Rauda et al.
2 citations
Computer Methods and Programs in Biomedicine
Image Enhancement Techniques
2.55
article

Breaking through scattering: The H-Net CNN model for image retrieval

Roger Chiu, Miguel S. Soriano-García, S. M. Afanador-Delgado, Edgar Villafaña-Rauda, Roger Chiu-Coutino, Carlos Israel Medel-Ruiz
article en
2 citations

Abstract

The results of this study indicate that H-Net offers an alternative to more complex and computationally expensive models, providing efficient and reliable image reconstruction in scattering media.

Computer Methods and Programs in BiomedicineVol. 265
Universidad Enrique Díaz de León (MX), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
Nvidia
Reduced inequalities
Openalex Percentile: Top 12%
Image Enhancement Techniques
2.55
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