• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.417-420
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• 2006

In these days, mobile application dealing with information contents on mobile or handheld devices such as mobile communicator, PDA or WAP device face the most important industrial needs. The motivation of this study is the design and implementation of mobile application using high resolution satellite imagery, large-sized image data set. Although major advantages of mobile devices are portability and mobility to users, limited system resources such as small-sized memory, slow CPU, low power and small screen size are the main obstacles to developers who should handle a large volume of geo-based 3D model. Related to this, the previous works have been concentrated on GIS-based location awareness services on mobile; however, the mobile 3D terrain model, which aims at this study, with the source data of DEM (Digital Elevation Model) and high resolution satellite imagery is not considered yet, in the other mobile systems. The main functions of 3D graphic processing or pixel pipeline in this prototype are implemented with OpenGL|ES (Embedded System) standard API (Application Programming Interface) released by Khronos group. In the developing stage, experiments to investigate optimal operation environment and good performance are carried out: TIN-based vertex generation with regular elevation data, image tiling, and image-vertex texturing, text processing of Unicode type and ASCII type.

• Journal of information and communication convergence engineering
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• 제7권4호
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• pp.507-515
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• 2009

In this paper, we propose an image signal processor (ISP) for an ultra small HD-grade video sensor with 3A (AWB, AE, and AF) in camera phones that can process 720P/30fps videos. In order to enhance the video quality of the systems, it is necessary to achieve the high performance of the 3A. The proposed AWB algorithm multiplies the adjusted coefficients of color gains to the captured data of white objects. The proposed AE method adopts the index step moving based on the difference between an averaged Y luminance and a target luminance, together with IIR filters with variable time responses. The proposed AF technique controls the focus curve to find the lens position that maximizes the integrated high frequency components in luminance values by using highpass filters. Finally, we compare the image quality captured from our system to the quality of a commercial HD camcorder in order to evaluate the performance of the proposed ISP. The proposed ISP system is also fabricated with 0.18um CMOS flash memory process.

• IEIE Transactions on Smart Processing and Computing
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• 제6권4호
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• pp.229-236
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• 2017

This paper presents an efficient object-based color image-retrieval algorithm that is suitable for the classification and retrieval of images from small to mid-scale datasets, such as images in PCs, tablets, phones, and cameras. The proposed method first finds salient regions by using regional feature vectors, and also finds several dominant colors in each region. Then, each salient region is partitioned into small sub-blocks, which are assigned 1 or 0 with respect to the number of pixels corresponding to a dominant color in the sub-block. This gives a binary map for the dominant color, and this process is repeated for the predefined number of dominant colors. Finally, we have several binary maps, each of which corresponds to a dominant color in a salient region. Hence, the binary maps represent the spatial distribution of the dominant colors in the salient region, and the union (OR operation) of the maps can describe the approximate shapes of salient objects. Also proposed in this paper is a matching method that uses these binary maps and which needs very few computations, because most operations are binary. Experiments on widely used color image databases show that the proposed method performs better than state-of-the-art and previous color-based methods.

• 대한원격탐사학회지
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• 제24권1호
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• pp.57-64
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• 2008

In the previous study, the Haar wavelet was used as the sole basis function for the 3D discrete wavelet transform because the number of bands is too small to decompose a remotely sensed image in band direction with other basis functions. However, it is possible to use other basis functions for wavelet decomposition in horizontal and vertical directions because wavelet decomposition is independently performed in each direction. This study aims to classify a high spatial resolution image with the six types of basis function including the Haar function and to compare those results. The other wavelets are more helpful to classify high resolution imagery than the Haar wavelet. In overall accuracy, the Coif4 wavelet has the best result. The improvement of classification accuracy is different depending on the type of class and the type of wavelet. Using the basis functions with long length could be effective for improving accuracy in classification, especially for the classes of small area. This study is expected to be used as fundamental information for selecting optimal basis function according to the data properties in the 3D DWT based image classification.

• 한국군사과학기술학회지
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• 제22권2호
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• pp.162-169
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• 2019

This paper describes a thermal image processing algorithm for uncooled type TEC-less IR detector which is applicable to fire control system of small arms. We implemented a real-time gain and offset compensation algorithm based on polynomial approximation from the raw dataset which is acquired by two reference temperature of blackbody from various FPA(Focal Plane Array) temperature. Through the experiment, we analyzed the output characteristics of detector's raw-data and compared IR image quality to traditional non-uniformity correction method. It shows that the proposed method works well in all FPA temperature range with low residual non-uniformity.

• 한국정보기술학회논문지
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• 제16권12호
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• pp.85-92
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• 2018

복잡한 영상처리 알고리즘을 사용할 때 계산량을 줄이기 위해 슈퍼픽셀을 사용한다. 슈퍼픽셀은 특성이 유사한 픽셀들을 군집화하여 하나의 그룹으로 만드는 방법이다. 슈퍼픽셀은 영상처리의 전단계로 사용되기 때문에 빠르게 생성할 수 있어야 하고 영상의 에지 성분들을 잘 보존하여야 한다. 본 논문에서는 에지 성분을 잘 보존하면서도 계산량이 많지 않은 슈퍼픽셀 생성 방법을 제안한다. 제안하는 방법에서는 먼저 기존의 k-mean 방법을 이용하여 영상의 슈퍼픽셀을 충분히 생성하고, 생성된 슈퍼픽셀들을 분석하여 유사한 슈퍼픽셀을 병합하는 방식으로 최종 슈퍼픽셀을 생성한다. 슈퍼픽셀을 병합할 때는 슈퍼픽셀에 대해서만 유사도를 측정하기 때문에 추가되는 계산량은 많지 않다. 실험 결과는 제안하는 방법으로 생성된 슈퍼픽셀이 기존 방법에 의해 생성된 슈퍼픽셀에 비해 보다 정확하게 에지 성분들을 보존하는 것을 보여준다.

• 한국유통학회지:유통연구
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• 제12권2호
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• pp.79-102
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• 2007

점포의 평가는 소비자의 마음속에 자리 잡고 있는 유사한 경쟁점포들 내에서 이루어지게 되며, 이렇게 "소비자가 특정 점포선택을 할 때 실제 고려하게 되는 점포들의 집합"을 고려점포군(考廬店鋪群; consideration set of stores)이라 한다. 본 연구에서는 소비자가 의류제품을 구매할 때 점포선택과정 중에 형성하는 고려점포군을 알아보고, 고려점포군과 점포이미지 중요도와의 관련성을 알아보고자 하였다. 연구결과에서 의류점포선택과정을 통해 형성된 고려점포군은 결과적으로 고려점포수와 고려하는 점포유형에 따라 다시 구체화될 수 있으며, 이를 기준으로 소비자 유형화를 실시한 결과 '소수-가두점 고려집단', '소수-시장 고려집단', '소수-백화점 고려집단', '소수-백화점/아울렛 고려집단', '다수-백화점/시장 고려집단', '다수-백화점/가두점 고려집단', '다수-백화점 고려집단'으로 구분되었으며, 유형화된 소비자 집단별 점포이미지 중요도에 있어서 유의한 차이가 있음이 밝혀졌다. 예를 들면, 시장을 고려점포유형으로 포함하는 소수-시장 고려집단과 다수-백화점/시장 고려집단은 저렴한 가격을 중요한 점포이미지로 여겼으며, 소수-백화점 고려집단은 점포 마일리지 카드나 할인카드, 다수-백화점/가두점 고려집단은 주변 여가공간 요인을 중요한 점포이미지로 꼽아 집단별 차이를 나타냈다. 이러한 결과들은 점포 운영자들이 자사 목표고객과 경쟁점포를 파악하고 이에 대응한 마케팅 전략을 수립하는데 효과적으로 사용될 수 있을 것으로 생각된다.

• Current Optics and Photonics
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• 제5권6호
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• pp.606-616
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• 2021

A photonic integrated interferometric imaging system possesses the characteristics of small-scale, low weight, low power consumption, and better image quality. It has potential application for replacing conventional large space telescopes. In this paper, the principle of photonic integrated interferometric imaging is investigated. A novel lenslet array arrangement and lenslet pairing approach are proposed, which are helpful in improving spatial frequency coverage. For the novel lenslet array arrangement, two short interference arms were evenly distributed between two adjacent long interference arms. Each lenslet in the array would be paired twice through the novel lenslet pairing approach. Moreover, the image reconstruction model for optical interferometric imaging based on compressed sensing was established. Image simulation results show that the peak signal to noise ratio (PSNR) of the reconstructed image based on compressive sensing is about 10 dB higher than that of the direct restored image. Meanwhile, the normalized mean square error (NMSE) of the direct restored image is approximately 0.38 higher than that of the reconstructed image. Structural similarity index measure (SSIM) of the reconstructed image based on compressed sensing is about 0.33 higher than that of the direct restored image. The increased spatial frequency coverage and image reconstruction approach jointly contribute to better image quality of the photonic integrated interferometric imaging system.

• 농업과학연구
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• 제49권3호
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• pp.667-678
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• 2022

A characteristic of a region's environmental resources is the competitiveness of local agricultural products. This study explores methods of making locally produced agricultural products appealing to consumers. We looked at ways to appeal to consumers by using the image of environment resource and environment-agriculture product image congruence. The relationships of two dimensions of environmental image, perceived quality and purchase intention, are examined. From the results of the study, both the image of environment resource and environment-agriculture product image congruence have a positive effect on purchasing local agricultural products through perceived quality. This study tried to ascertain which of the two dimensions of the environmental image factor is more effective in terms of consumer appeal for local agricultural products. As a result, both the image of environment resource and environment-agricultural product image congruence are found to have a positive effect on the purchase intention of consumers through perceived quality. By comparing the paths of the two dimensions it is found that the method of appealing to consumers by using the environment-agriculture product image congruence is more effective. The results of this study present an effective method of making locally produced agricultural products appealing to consumers and suggest an effective strategic direction for selling local agricultural products.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 학술대회
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• pp.63-66
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• 1996

In this paper, we propose a new content-based color image retrieval algorithm. The algorithm makes use of two features; colors as global features and block classification results as local features. More specifically, we obtain R, G, B color histograms and classify nonoverlapping small image blocks into texture, monotone, and various edges, then using these histograms and classification results were make a similarity measure. Experimental results show that retrieval rate of the proposed algorithm is higher than the previous method.