2024
DOI: 10.2478/amns-2024-0337
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Research on Medical Image Enhancement Method Based on Conditional Entropy Generative Adversarial Networks

Hui Li

Abstract: This study proposes an image enhancement method combining conditional entropy and generative adversarial network, aiming to improve the image quality while avoiding overfitting through the negative training of dependent generative adversarial network and introducing dependent entropy distance loss. Through NIQMC, NIQE and BTMQI evaluation indexes, this paper evaluates the effects of different parameter combinations and image chunk sizes on the enhancement results. It utilizes information entropy as an evaluati… Show more

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