• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.272-281
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• 2008

A layer channel, which can express effects on 3D image, is inserted to use it on application rendering effectively. The current method of effect rendering requires individual sources in storage and image processing, because it uses individual and mixed management of images and effects. However, we can save costs and improve results in images processing by processing both image and layer channels together. By changing image format to insert a layer channel in image and adding a hide function to conceal the layer channel and control to make it possible to approach image and layer channels simultaneously during loading image and techniques hiding the layer channel by changing image format with simple techniques, like alpha blending, etc., it is developed to improve reusability and be able to be used in all programs by combining the layer channel and image together, so that images in changed format can be viewed in general image viewers. With the configuration, we can improve processing speed by introducing image and layer channels simultaneously during loading images, and reduce the size of source storage space for layer channel images by inserting a layer channel in 3D images. Also, it allows managing images in 3D image and layer channels simultaneously, enabling effective expressions, and we can expect to use it effectively in multimedia image used in practical applications.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.38-47
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• 2013

An image coding based on MRC model, a kind of multi-layer image model, first segments a screen image into foreground, mask, and background layers, and then compresses each layer using a codec that is suitable to the layer. The mask layer defines the position of foreground regions such as textual and graphical contents. The colour signal of the foreground (background) region is saved in the foreground (background) layer. The mask layer which contains the segmentation result of foreground and background regions is of importance since its accuracy directly affects the overall coding performance of the codec. This paper proposes a new layer segmentation algorithm for the MRC based image coding. The proposed method extracts text pixels from the background using morphological top hat filtering. The application of white or black top hat transformation to local blocks is controlled by the information of relative brightness of text compared to the background. In the proposed method, the boundary information of text that is extracted from the edge map of the block is used for the robust decision on the relative brightness of text. Simulation results show that the proposed method is superior to the conventional methods.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.339-353
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• 2023

As the availability of high-resolution satellite imagery increases, improvement of positioning accuracy of satellite images is required. The importance of orthorectified images is also increasing, which removes relief displacement and establishes true localization of man-made structures. In this paper, we performed automated extraction of building rooftops and total building areas within original satellite images using the existing building height database. We relocated the rooftop sin their true position and generated an orthorectified building layer. The extracted total building areas were used to blank out building areas and generate true orthographic non-building layer. A final orthorectified image was provided by overlapping the building layer and non-building layer.We tested the proposed method with KOMPSAT-3 and KOMPSAT-3A satellite images and verified the results by overlapping with a digital topographical map. Test results showed that orthorectified building layers were generated with a position error of 0.4m.Through the proposed method, the feasibility of automated true orthoimage generation within dense urban areas was confirmed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.8
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• pp.1704-1713
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• 2011

This paper proposes a method to generate multiview images which use a synthesized image consisting of layered objects. The camera system which consists of a depth camera and a RGB camera is used in capturing objects and extracts 3-dimensional information. Considering the position and distance of the synthesizing image, the objects are synthesized into a layered image. The synthesized image is spaned to multiview images by using multiview generation tools. In this paper, we synthesized two images which consist of objects and human and the multiview images which have 37 view points were generated by using the synthesized images.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.598-601
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• 2011

스케일러블 비디오 코딩은 레이어간 예측 기능을 이용하여 시뮬케스트 코딩에 비해 코딩 효율을 높인다. 하지만 스케일러블 비디오 코딩의 레이어간 예측으로는, 인트라 픽셀(inta pixel). 모션 정보(motion vector information), 레지듀얼(residual)등의 예측이 수행되는데, 이는 많은 계산 시간을 소요하게 되며, 시뮬케스트에 비해 코딩 시간이 증가하게 된다. 특히 인코더의 경우, 가장 최적의 모드를 선택하기 위하여, 기존 H.264 AVC에서 사용하는 예측을 수행한 뒤, 부가적으로 스케일러블 비디오 코딩의 레이어간 예측을 수행하기 때문에, 하나의 영상이 많은 레이어를 포함할수록 인코딩에 의한 계산부하가 매우 증가하게 된다. 본 논문에서는 이를 해결하기 위해, 멀티 코어 이용하여 레이어별로 병렬처리가 가능하도록 하는 스케일러블 비디오 인코더의 구조를 제안한다. 이로써 하나의 영상이 포함하는 레이어의 수가 증가함에 따라 발생하는 인코딩 계산 부하를 줄이도록 하였다. 그리하여 본 논문에서 제안하는 구조를 적용하였을 때, 2개의 공간영역으로의 스케일러빌리티를 가지는 영상들에 대해서는 평균 24.8%의 속도가 향상되었고, 1개의 공간영역과 1개의 화질 영역으로의 스케일러빌리티를 가지는 영상들에 대해서는 평균 82%의 속도 향상을 보였다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.1
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• pp.92-98
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• 2019

In this paper, we propose a deep learning system based on morphological neural network(MNN). The deep learning layers are morphological operation layer, pooling layer, ReLU layer, and the fully connected layer. The operations used in morphological layer are erosion, dilation, and edge detection, etc. Unlike CNN, the number of hidden layers and kernels applied to each layer is limited in MNN. Because of the reduction of processing time and utility of VLSI chip design, it is possible to apply MNN to various mobile embedded systems. MNN performs the edge and shape detection operations with a limited number of kernels. Through experiments using database images, it is confirmed that MNN can be used as a deep learning system and its performance.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.427-428
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• 2015

정보통신 기술의 발전으로 교육 패러다임이 스마트 디바이스를 이용하는 스마트 러닝으로 변화하고 있다. 특히 에듀테인먼트 시스템들은 암묵적 지식습득률 향상을 위하여 증강현실 기술을 도입한 다양한 시스템들이 도입되고 있다. 그러나 이와 같이 증강현실을 이용한 시스템들은 실환경의 조명과 가상환경의 조명환경의 부조화로 인하여 영상 합성시 실감성이 낮은 문제점을 가지고 있다. 따라서 본 논문에서는 증강 객체, 웹캠을 통해 입력된 영상, 가상의 배경 영역으로 구성된 단일 레이어를 3차원 조명환경 정보를 포함한 블록 레이어로 변환하고 변환된 블록 레이어를 합성하는 에듀테인먼트를 위한 증강현실 시스템을 설계한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.6
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• pp.151-160
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• 2017

Among the methods of developing tourist spots and culture as the experience contents, it is a common method to display high-quality video images on a large display, and it is necessary to make a special difference between the participant's active participation and the visual experience in other regions. In this paper, using the single molecular OLED and active type, the regional tourist spots blend transparent OLED dual-layer display systems with the extended image implementation and augmented interaction techniques to give the participants a real-world experience, such as directing to new experiences and beautiful sights. In this paper, additional images and UI layers are applied to the layers of the images to allow visitors to experience sightseeing information, weather, maps, accommodations, festivals and photo materials with image. In addition to the dual-layer system, it also added a multi-display system that additionally has one vertical 55-inch display on each side, adding to the experience the immersive experience and interface interlocking fun. By using transparent OLED, dual layer panel and 3-channel Multi-image playback technique, the augmented type experience contents which can experience the local attractions in Jeollanamdo province in Korea at all time without any limitation of time and space were developed.

• Journal of Broadcast Engineering
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• v.18 no.5
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• pp.722-729
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• 2013

For low contrast images, a histogram equalization is possible to easily identify information when the intensity is concentrated in an image. Over contrast enhancement is the problem of generating an unnatural image cognitively because the focus of existing techniques was the contrast enhancement. In order to solve this problem, CLAHE method solves unnatural problems by limiting contrast using a maximum threshold. However, this method has an extra problem that concealed detail information in an image. This paper proposes a detail-map based on the multiple layers block overlapped histogram equalization in order to avoid loss of detail information. Loss of detail information has been made to minimize as combining images with limited contrast enhancement using a detail-map in each layers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.4
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• pp.935-944
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• 2013

In this paper, a new illumination compensation algorithm by segmentation with depth information is proposed to improve the coding efficiency of multi-view images. In the proposed algorithm, a reference image is first segmented into several layers where each layer is composed of objects with a similar depth value. Then we separate objects from each other even in the same layer by labeling each separate region in the layered image. Then, the labeled reference depth image is converted to the position of the distortion image view by using 3D warping algorithm. Finally, we apply an illumination compensation algorithm to each of matched regions in the converted reference view and distorted view. The occlusion regions that occur by 3D warping are also compensated by a global compensation method. Through experimental results, we are able to confirm that the proposed algorithm has better performance to improve coding efficiency.