2024
DOI: 10.7717/peerj-cs.2417
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Image enhancement with art design: a visual feature approach with a CNN-transformer fusion model

Ming Xu,
Jinwei Cui,
Xiaoyu Ma
et al.

Abstract: Graphic design, as a product of the burgeoning new media era, has seen its users’ requirements for images continuously evolve. However, external factors such as light and noise often cause graphic design images to become distorted during acquisition. To enhance the definition of these images, this paper introduces a novel image enhancement model based on visual features. Initially, a histogram equalization (HE) algorithm is applied to enhance the graphic design images. Subsequently, image feature extraction is… Show more

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