• Journal of the Korea Fashion and Costume Design Association
• /
• v.18 no.4
• /
• pp.117-124
• /
• 2016

This study considered about freaky design of men's wear in Edo period, and also compared and analyzed it to modern men's wear. The purpose for this study is to contribute to the development of modern men's wear by this analysis. Edo period was a male dominated period, so culture of showing off their powers appeared in their fashion as symbols of skulls, monsters or tattoos. Kabuki culture used this kind of social background and it incited the actors roles and clothes to become more famous. 2016-17 F/W, 2017 S/S modern men's wear expressed more various freaky design, so it was able to be classed as shapes, pattern, materials and total coordination. Edo period just expressed freaky design by symbols however, freaky design in modern men's wear is showing more various expressions. This study can conclude that freaky design usually shows weird, peculiar, scary and dampish images. Also freaky design showed in the persuit of various choices including parade of power in modern men's wear.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2010.07a
• /
• pp.435-437
• /
• 2010

렌즈의 피사계심도 (Depth of Field)가 낮은 카메라로 영상을 획득 했을 때, 한 영상 내에도 in-focus 영역과 out of-focus 영역이 동시에 존재하게 된다. 따라서 영상을 복원하기 위해 in-focus 영역과 out-of-focus 영역을 구분하는 focus measure가 필요하게 된다. 기존 focus measure 알고리즘은 획득된 영상의 intensity 값의 절대적인 변화나 고주파수 성분 값에 따라 in-focus와 out-of-focus를 결정하기 때문에 out-of-focus 영역이 smooth 하지 않을 경우에는 in-focus 영역이라 잘못 판단할 수 있을 뿐만 아니라 잡음에 민감한 단점을 가진다. 본 논문에서는 기존 알고리즘의 한계점을 보완하는 연구 방향을 제시한다.

• Journal of Broadcast Engineering
• /
• v.16 no.5
• /
• pp.883-893
• /
• 2011

In this paper, we propose a novel focus measure that determines in-focus and out-of-focus region in an image. In addition, we achieved extended depth of field by blending the acquired image and Wiener filtered image using a decision map based on the designed focus measure. Since conventional focus measures are based on the amount of high frequency components in an acquired image, the measures may not be accurate if there exist high frequency components in out-of-focused region. To overcome the problem, we designed the novel focus measure based on effective band pass filtering. In simulations and experiments, the proposed method showed better performance than existing methods.