• 복식
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• 제50권8호
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• pp.57-66
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• 2000

The purpose of this study describe about aesthetic of korean art and costume. Therefore we understand the beauty of korean style well. Methods of this study are the analyst of the paper before published on the aesthetic and costume aesthetic. Especially in the global postmodern age. the understanding of the value of korean beauty and costume are very Important. This study define of the special character. That is as follows. 1) Beauty of form a. Harmony of line different character b. Composition of plane make super space aesthetic c. Beauty of asymmetric, non formal, freedom of dressed man d. Beauty of symbolic color 2) Beauty of mend a. Aesthetic of the north nomads feeling b. View of the naturalism c. Ceremony of confucianism d. Preservation of original form, koreanization from heterogeneity

• Journal of Information Processing Systems
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• 제18권4호
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• pp.575-586
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• 2022

Uneven light in real-world causes visual degradation for underexposed regions. For these regions, insufficient consideration during enhancement procedure will result in over-/under-exposure, loss of details and color distortion. Confronting such challenges, an unsupervised low-light image enhancement network is proposed in this paper based on the guidance of the unpaired low-/normal-light images. The key components in our network include super-resolution module (SRM), a GAN-based low-light image enhancement network (LLIEN), and denoising-scaling module (DSM). The SRM improves the resolution of the low-light input images before illumination enhancement. Such design philosophy improves the effectiveness of texture details preservation by operating in high-resolution space. Subsequently, local lightness attention module in LLIEN effectively distinguishes unevenly illuminated areas and puts emphasis on low-light areas, ensuring the spatial consistency of illumination for locally underexposed images. Then, multiple discriminators, i.e., global discriminator, local region 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 human aesthetic perception. Finally, the DSM performs noise removal and obtains high-quality enhanced images. Both qualitative and quantitative experiments demonstrate that our approach achieves favorable results, which indicates its superior capacity on illumination and texture details restoration.