METHOD FOR IMPROVING THE GENERALIZATION CAPACITY OF NEURAL NETWORKS FOR IMAGE QUALITY ENHANCEMENT

The paper considers the problem of the generalizing ability of neural networks to improve image quality. The existing solutions are considered and methods for improving generalizing ability are proposed. A correlation analysis of various statistical variables was carried out to find ways to determine the quality of images. In conclusion, conclusions are drawn on further investigation of the problem.

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Publication Details

Published
2025-06-15
DOI
https://doi.org/10.21667/978-5-7722-0426-9-137-140
Primary Topic
Advanced Image Fusion Techniques
Type
article
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article

METHOD FOR IMPROVING THE GENERALIZATION CAPACITY OF NEURAL NETWORKS FOR IMAGE QUALITY ENHANCEMENT

Vladimir Anokhin, V.V. Beloff
Advanced Image Fusion Techniques
article

METHOD FOR IMPROVING THE GENERALIZATION CAPACITY OF NEURAL NETWORKS FOR IMAGE QUALITY ENHANCEMENT

Vladimir Anokhin, V.V. Beloff
article en

Abstract

The paper considers the problem of the generalizing ability of neural networks to improve image quality. The existing solutions are considered and methods for improving generalizing ability are proposed. A correlation analysis of various statistical variables was carried out to find ways to determine the quality of images. In conclusion, conclusions are drawn on further investigation of the problem.

Openalex Percentile: Top 67%
Advanced Image Fusion Techniques
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METHOD FOR IMPROVING THE GENERALIZATION CAPACITY OF NEURAL NETWORKS FOR IMAGE QUALITY ENHANCEMENT — Vladimir Anokhin, V.V. Beloff · (2025) | TGRS Research Map | TGRS