• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.131-143
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• 2014

We propose a no-reference perceptual fog density and visibility prediction model in a single foggy scene based on natural scene statistics (NSS) and perceptual "fog aware" statistical features. Unlike previous studies, the proposed model predicts fog density without multiple foggy images, without salient objects in a scene including lane markings or traffic signs, without supplementary geographical information using an onboard camera, and without training on human-rated judgments. The proposed fog density and visibility predictor makes use of only measurable deviations from statistical regularities observed in natural foggy and fog-free images. Perceptual "fog aware" statistical features are derived from a corpus of natural foggy and fog-free images by using a spatial NSS model and observed fog characteristics including low contrast, faint color, and shifted luminance. The proposed model not only predicts perceptual fog density for the entire image but also provides local fog density for each patch size. To evaluate the performance of the proposed model against human judgments regarding fog visibility, we executed a human subjective study using a variety of 100 foggy images. Results show that the predicted fog density of the model correlates well with human judgments. The proposed model is a new fog density assessment work based on human visual perceptions. We hope that the proposed model will provide fertile ground for future research not only to enhance the visibility of foggy scenes but also to accurately evaluate the performance of defog algorithms.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.1
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• pp.67-72
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• 2012

In this paper, we present an image enhancement method for atmospherically degraded images using atmospheric light and transmission based on color analysis. We first generate a normalized image using maximum value of each RGB color channel. Then, each atmospheric light is estimated from RGB color channel respectively by calculating reflectance of an image. We also, generate a transmission using gamma coefficients from the Y channel of the image. We can significantly enhance the visibility of an image by using the estimated atmospheric light and the transmission. The proposed algorithm can remove atmospheric degradation components better than existing techniques because the color prevents color distortion which is common problem of existing techniques. Experimental results demonstrate that the proposed algorithm can improve visibility be removing fog, smoke, and dust.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.451-453
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• 2004

사용자 인터페이스에서 비즈니스 이벤트의 가시적 응집도 향상을 위하여 의미적으로 서로 관련성을 갖도록 4단계로 클러스터링함으로써 비즈니스 업무의 이해도를 향상시키고. 사용성이 향상되도록 설계하는 방법을 제안한다. 이것은 클러스터링 단계별로 가시적 응집도를 향상시킬 수 있었다. 또한 사용자 인터페이스에서 비즈니스 이벤트의 기능적, 통신적, 순차적 응집도를 높여준다.

• Journal of Korea Game Society
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• v.7 no.3
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• pp.31-38
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• 2007

In this paper, we proposed an effective visibility test architecture with improving the mid-texturing architecture. The proposed architecture uses the property of fragments that the visibility of adjacent fragments is identical, and performs only a single visibility test per fragment. To compare with the mid-texturing architecture, simulation results show that the bandwidth requirements and the cell area of the depth cache in the proposed architecture are reduce by 25% and 34%, respectively, in exchange for less than 5% performance decline.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1713-1716
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• 2005

최근 3 차원 그래픽 영상의 복잡도가 점점 증가함에 따라, 가시성 선별에 관련된 연구는 3 차원 렌더링 프로세서 설계에 있어서 중요한 핵심 연구 중 하나가 되었다. 본 논문에서는 기존의 픽셀 캐쉬의 정보를 이용하여 가시성 선별을 수행하는 새로운 래스터라이제이션 파이프라인을 제안하고 있다. 제안 구조에서는 가시성 정보를 관리하기 위해서 계층적 z-버퍼 (HZB)와 같이 규모가 큰 별도의 하드웨어를 추가하지 않고, 픽셀 캐쉬에 저장되어 있는 데이터를 참조하여 주사 변환 과정에서 가시성 선별을 수행하고 있다. 캐쉬에서 접근 참조 실패된 프리미티브에 대해서는 픽셀 래스터라이제이션 파이프라인의 z-테스트 과정에서 은면 제거를 수행하도록 하였고, 선 인출 기법을 적용하여 픽셀 캐쉬의 접근 실패에 따른 손실을 줄여주었다. 실험 결과, 제안 구조는 일반 픽셀 파이프라인 구조에 비해 약 32%, HZB 구조에 비해 약 7%의 성능 향상을 보이고 있다.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.1
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• pp.77-81
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• 2001

Good visibility is essential for drivers. Especially it may be critical when drivers are passing through a tunnel. Lighting is one of the major factors that contribute to or detract from visibility in a tunnel. In order to enhance the visibility a new lighting technique has been proposed: counter-beam. This paper proposes a new scheme for tunnel lighting design and analyzes the counter-beam lighting technique by showing the contrast effect of it. Different situations are set and simulated. This study is expected to contribute improving the visibility in tunnels.

• Journal of the Korea Computer Graphics Society
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• v.8 no.2
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• pp.9-14
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• 2002

In cases of densely occluded urban scenes, it is effective to determine the visibility of scenes, since only small parts of the scene are visible from a given cell. In this paper, we introduce a new visibility preprocessing method that efficiently computes potentially visible objects for volumetric cells. The proposed method deals with general 3D polygonal models and invisible objects jointly blocked by multiple occluders. The proposed approach decomposes volume visibility into a set of point visibilities, and then computes point visibility using hardware visibility queries, in particular HP_occlusion_test and NV_occlusion_query. We carry out experiments on various large-scale scenes, and show the performance of our algorithm.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.559-560
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• 2021

본 논문에서는 인공지능, 사물인터넷 등 4차 산업혁명 기술을 기반으로 생산 업체와 공급 업체 간의 공급망의 가시성, 안전성, 효율성 향상을 위한 물류 표준을 준수하며 고도화 및 지능화된 스마트 SCM 솔루션을 제시하고자 한다. 이를 위해 사물 인터넷, 인공지능 기술을 기반으로 공급망의 가시성, 안전성, 효율성 향상을 위한 물류 표준을 준수하며 고도화되고 지능화된 효율적인 자동 발주 솔루션을 제시한다. 자동 발수 솔루션은 협력업체와의 생산계획정보, 발주정보, 납품정보, 품질판정정보, 재고현황 등의 제품 데이터를 실시간 공유하는 웹 기반 솔루션이다.

• The KIPS Transactions:PartA
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• v.15A no.1
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• pp.1-8
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• 2008

An occlusion culling method, one of visibility culling methods, excludes invisible objects or triangles which are covered by other objects. As it reduces computation quantity, occlusion culling is an effective method to handle complex scenes in real-time. But an existing common occlusion culling method, such as hardware occlusion query method, sends objects' data twice to GPU and this causes processing overheads once for occlusion culling test and the other is for rendering. And another existing hardware occlusion culling method, VCBP, can test objects' visibility quickly, but it neither test bounding volume nor return test result to application stage. In this paper, we propose a single pass occlusion culling method which uses temporal and spatial coherency, with effective occlusion culling hardware architecture. In our approach, the hardware performs occlusion culling test rapidly with cache on the rasterization stage where triangles are transformed into fragments. At the same time, hardware sends each primitive's visibility information to application stage. As a result, the application stage reduces data transmission quantity by excluding covered objects using the visibility information on previous frame and hierarchical spatial tree. Our proposed method improved maximum 44%, minimum 14% compared with S&W method based on hardware occlusion query. And the performance is increased 25% and 17% respectively, compared to maximum and minimum performance of CHC method which is based on occlusion culling method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.7
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• pp.1254-1259
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• 2007

Watermark insertion methods on low frequency subbands in wavelet transform image are robust in attacks, but become reduction of invisibility. And watermark insertion methods on high frequency subbands have a good visibility, but are weak in attack. In this paper, we propose the method that improve invisibility and robustness of watermarks according as we adaptively control insertion intensity by using subband characteristics and perceptual weights. Experimental result, we show that the proposed method has excellent of invisibility and robustness more than the conventional method, according as it is improved with $1.7dB{\sim}2.6dB$ in invisibility, and is improved with $0.2{\sim}12.9$ in similarity measurement.