• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.543-548
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• 2021

The higher the resolution of the image, the higher the satisfaction of the viewers of the image, and the super-resolution imaging has a considerable increase in research value among the fields of computer vision and image processing. In this study, the main features of low-resolution image LR are extracted mainly using deep learning super-resolution models. It learns and reconstructs the extracted features, and focuses on reconstruction-based algorithms that generate high-resolution image HR. In this paper, we investigate SRCNN and VDSR in a super-resolution algorithm model based on reconstruction. The structure and algorithm process of the SRCNN and VDSR model are briefly introduced, and the multi-channel and special form are also examined in the improved performance evaluation function, and understand the performance of each algorithm through experiments. In the experiment, an experiment was performed to compare the results of the SRCNN and VDSR models with the peak signal-to-noise ratio and image structure similarity, so that the results can be easily judged.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.152-153
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• 2023

해상 무선 통신에서 신호 다중 경로로 인하여 장거리 데이터 통신에 어려움이 있을 수 있다. 이를 해소하기 위하여 채널 등화 기술을 사용할 수 있다. 제안하는 채널 등화 기술은 비터비 알고리즘을 이용한 시퀀스 신호 검출로 구현의 복잡도를 낮추기 위하여 결정 피드백 방식을 이용하여 트랠리스 상태의 개수를 줄였다. 16QAM과 심볼 속도 76.8kHz의 신호에 대하여 10usec와 30usec 지연 시간 차이를 갖는 2-way 신호 경로의 채널 모델에 대한 컴퓨터 모의 시험을 수행하였다. 제안한 등화 기술을 사용할 경우 고려한 다중 신호 경로에 대하여 수신 오류율에서 error flow가 관찰되지 않는 것을 확인하였다.

• Korean Journal of Remote Sensing
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• v.26 no.1
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• pp.29-38
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• 2010

It is necessary to develop an integration model which can account for various data acquired at different measurement scales in environmental thematic mapping with high-resolution ground survey data and relatively low-resolution remote sensing data. This paper presents and applies a multi-scale geostatistical methodology for downscaling of thematic maps generated from lowresolution remote sensing data. This methodology extends a traditional ordinary kriging system to a block kriging system which can account for both ground data and remote sensing data which can be regarded as point and block data, respectively. In addition, stochastic simulation based on block kriging is also applied to describe spatial uncertainty attached to the downscaling. Two downscaling experiments including SRTM DEM and MODIS Leaf Area Index (LAI) products were carried out to illustrate the applicability of the geostatistical methodology. Through the experiments, multi-scale geostatistics based on block kriging successfully generated relatively high-resolution thematic maps with reliable accuracy. Especially, it is expected that multiple realizations generated from simulation would be effectively used as input data for investigating the effects of uncertain input data on GIS model outputs.

• Journal of Digital Contents Society
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• v.9 no.3
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• pp.509-516
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• 2008

We propose the Hybrid Rendering model to support multi-resolution for computer graphics. LOD method for computer graphics system considering performance of device environment and end-user preference usually adopts mesh resolution, mipmap in texture rendering, or oct-tree data structure in ray tracing. The hybrid rendering model, as a local shading model combining Gouraud shading model and a flat shading model, applies a proper shading method to each of polygons consisting of an object. This method can be an effective alternative to reduce real-time rendering time so that it can be utilized in real time adaptive service of computer graphic contents among various device environments under ubiquitous environments.

• Journal of Advanced Marine Engineering and Technology
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• v.35 no.8
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• pp.1092-1097
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• 2011

Data communications at sea are done by the traditional radio and satellite carriers. Because of the restrictions on the data rate and cost of the carriers, a novel data communication system at sea is needed. Nowadays the efforts to make use of the broadband land carriers at sea have been pursued. This paper proposes a routing scheme (NTCR) using the various carriers on land for a MANET model at sea. The NTCR scheme optimizes the route using a chosen carrier by taking considerations of normalized transmission characteristics (NTC) of applications and carriers. The NTCR scheme is compared with the MWR (max-win based routing) scheme.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.608-620
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• 2021

Recent deep learning-based face super-resolution (FSR) works showed significant performances by utilizing facial prior knowledge such as facial landmark and dictionary that reflects structural or semantic characteristics of the human face. However, most of these methods require additional processing time and memory. To solve this issue, this paper propose an efficient FSR models using knowledge distillation techniques. The intermediate features of teacher network which contains dictionary information based on major face regions are transferred to the student through adversarial multi-scale features distillation. Experimental results show that the proposed model is superior to other SR methods, and its effectiveness compare to teacher model.

• Journal of the Korea Computer Graphics Society
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• v.10 no.1
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• pp.7-13
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• 2004

본 논문에서는 cavity 변형 물체의 전역적 변형 형태는 유지하면서 계산 복잡도를 줄이기 위하여 모델의 다중해상도적 표현 기법 및 서로 다른 상세 레벨간 물리적 특성변수에 대한 적응기법을 제안한다. 또한, 객체의 안정적 변형을 지원하기 위한 형태유지 스프링을 제안한다. 일반적으로 위나 풍선과 같은 cavity 변형객체는 전체 구성노드의 수를 줄이기 위하여 표면 메쉬 구조로 모델링 된다. 이 경우, 표면의 인접 노드만이 감쇠(damping) 스프링으로 연결되고, 모델의 체적정보의 부재로 인하여 외부 힘이 일정시간 동안 지속적으로 주어지는 경우, 객체의 형태변형이 왜곡되고, 초기형태로의 복원이 불가능해진다. 본 논문에서 제안하는 형태유지 스프링은 외부힘에 의한 변형 후 초기형태로의 복원을 보장함으로써, 복잡한 계산과정 없이 간접적으로 객체의 볼륨유지 효과를 제공하고 변형의 불안전성을 제거한다.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.21-29
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• 2019

This paper proposes a novel framework for image fusion of satellite imagery to enhance spatial resolution of the image via structure-texture decomposition. The resolution of the satellite imagery depends on the sensors, for example, panchromatic images have high spatial resolution but only a single gray band whereas multi-spectral images have low spatial resolution but multiple bands. To enhance the spatial resolution of low-resolution images, such as multi-spectral or infrared images, the proposed framework combines the structures from the low-resolution image and the textures from the high-resolution image. To improve the spatial quality of structural edges, the structure image from the low-resolution image is guided filtered with the structure image from the high-resolution image as the guidance image. The combination step is performed by pixel-wise addition of the filtered structure image and the texture image. Quantitative and qualitative evaluation demonstrate the proposed method preserves spectral and spatial fidelity of input images.

• Korean Journal of Remote Sensing
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• v.35 no.6_3
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• pp.1209-1219
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• 2019

For consistent vegetation monitoring, it is necessary to generate time-series vegetation index datasets at fine temporal and spatial scales by fusing the complementary characteristics between temporal and spatial scales of multiple satellite data. In this study, we quantitatively and qualitatively analyzed the prediction accuracy of time-series change information extracted from spatio-temporal fusion models of multiple satellite data for vegetation monitoring. As for the spatio-temporal fusion models, we applied two models that have been widely employed to vegetation monitoring, including a Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and an Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM). To quantitatively evaluate the prediction accuracy, we first generated simulated data sets from MODIS data with fine temporal scales and then used them as inputs for the spatio-temporal fusion models. We observed from the comparative experiment that ESTARFM showed better prediction performance than STARFM, but the prediction performance for the two models became degraded as the difference between the prediction date and the simultaneous acquisition date of the input data increased. This result indicates that multiple data acquired close to the prediction date should be used to improve the prediction accuracy. When considering the limited availability of optical images, it is necessary to develop an advanced spatio-temporal model that can reflect the suggestions of this study for vegetation monitoring.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.49-53
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• 2002

본 논문은 광학 현미경으로 관찰된 데이터들을 분산 시스템이나 병렬 시스템에 구현한 소프트웨어 시스템의 설계에 대한 것으로, 이 시스템이 처리하는 데이터들이 대용량이라는 특성과 함께 다중 해상도의 특성을 갖는다. 본 시스템은 고객/서버 모델을 기반으로 하였으며, 대용량 데이터 처리시 성능에 중요한 디스크 입출력의 대역폭을 높이기 위해 힐버트 곡선 기반의 분산 알고리즘을 적용하였다. 서버부는 조정자 노드와 서비스 노드로 구성되며, 시스템의 제 구성 요소들간에는 정해진 통신 규약에 따라 메시지를 주고 받고, 상호 독립적이다. 이 시스템은 의학 교육, 원격 병리, 가상 학술 회의 등에 응용될 때 활용 가치가 높을 것으로 기대된다.