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- 저자 : Meiyong Huang (검색결과 1 건)
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GAN-Based Local Lightness-Aware Enhancement Network for Underexposed Images
Yong Chen,Meiyong Huang,Huanlin Liu,Jinliang Zhang,Kaixin Shao 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.4
Uneven light in real-world causes visual degradation for underexposed regions. For these regions, insufficientconsideration during enhancement procedure will result in over-/under-exposure, loss of details and colordistortion. Confronting such challenges, an unsupervised low-light image enhancement network is proposed inthis paper based on the guidance of the unpaired low-/normal-light images. The key components in our networkinclude super-resolution module (SRM), a GAN-based low-light image enhancement network (LLIEN), anddenoising-scaling module (DSM). The SRM improves the resolution of the low-light input images beforeillumination enhancement. Such design philosophy improves the effectiveness of texture details preservationby operating in high-resolution space. Subsequently, local lightness attention module in LLIEN effectivelydistinguishes unevenly illuminated areas and puts emphasis on low-light areas, ensuring the spatial consistencyof illumination for locally underexposed images. Then, multiple discriminators, i.e., global discriminator, localregion discriminator, and color discriminator performs assessment from different perspectives to avoid over-/under-exposure and color distortion, which guides the network to generate images that in line with humanaesthetic perception. Finally, the DSM performs noise removal and obtains high-quality enhanced images. Bothqualitative and quantitative experiments demonstrate that our approach achieves favorable results, whichindicates its superior capacity on illumination and texture details restoration.
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