• Journal of the Korea Society of Computer and Information
• /
• v.4 no.3
• /
• pp.73-77
• /
• 1999

In this paper. wavelet transform coding for image conference is studied. Original video frames are transformed into hierarchical pyramidal images with multiresolution using the band property of wavelet transform coefficients. Moving information between neighboring frames is obtained from the low-resolution band. Also, to control the video coding procedure. a new picture set filter is proposed. This filter controls the compression ratio of each frame depending on the correlation to the reference frame by selectively eliminating less important high-resolution areas. Consequently. video quality can be preserved and bit rate can be controlled adaptively In the simulation, to test the performance of the proposed coding method, comparisons with the full search block matching algorithm and the differential image coding algorithm are made. Consequently. the proposed method shows a reasonably good performance over existing ones.

• Journal of the Institute of Convergence Signal Processing
• /
• v.16 no.1
• /
• pp.1-8
• /
• 2015

In many image processing tasks, connected component labeling (CCL) is performed to extract regions of interest. CCL was usually done in a sequential fashion when image resolution was relatively low and there are small number of input channels. As image resolution gets higher up to HD or Full HD and as the number of input channels increases, sequential CCL is too time-consuming to be used in real time applications. To cope with this situation, parallel CCL framework was introduced where multiple cores are utilized simultaneously. Several parallel CCL methods have been proposed in the literature. Among them are NSZ label equivalence (NSZ-LE) method[1], modified 8 directional label selection (M8DLS) method[2], and HYBRID1 method[3]. Soh [3] showed that HYBRID1 outperforms NSZ-LE and M8DLS, and argued that HYBRID1 is by far the best. In this paper we propose an improved hybrid parallel CCL algorithm termed as HYBRID2 that hybridizes M8DLS with label backtracking (LB) and show that it runs around 20% faster than HYBRID1 for various kinds of images.

• Proceedings of the IEEK Conference
• /
• 2000.06a
• /
• pp.69-72
• /
• 2000

This paper shows the more improved design of MRI receiver compared to conventional one based on Elscint Spectrometer. At first, the low-cost ADC is 16 bits, 3MHz sampling A/D converter Comparing to conventional one with signal bits of 14 bits, this device with those of 16 bits helps getting Improved the image resolution improved. If frequency is designed centering around 7.6 MHz to be satisfied in 10 MHz of maximum input bandwidth of ADC. For 1st demodulation, fixed IF is used for the purpose of the implementing multi nuclei system. Control parts & partial digital parts are integrated on one chip(FPGA). In DDC(Digital Down Converter), we got required bandwidth of LPF by controlling its decimation rate. With above considerations, we designed optimal receiver for high resolution imaging to be implemented through PC interface & experimental test of receiver of MRI after receiver's fabrication.

• Journal of Biomedical Engineering Research
• /
• v.5 no.1
• /
• pp.77-84
• /
• 1984

A prototype of a linear real-time ultrasound B-scanner has been developed which has an axial resolution of 1-2mm and lateral resolution of 2-3mm. In the actual hardware and software implementations of the B-scanner, the following features were emphasized; (1) a dynamic focusing to improve resolution; (2) signal processing to obtain low noise image; (3) various functions for the user's convenience' (4) simplification of the system by an extensive use of recently developed LSI's; (5) development of a prototype at the level of a commercial product. This paper reports the experimental results of the overall system and the design approach of the analog part. The work on the digital part of the B-scanner is reported in part (II) seperately.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.439-441
• /
• 2020

본 논문에서는 국가무형문화재 기록영상의 화질 개선에 관한 연구를 진행한다. 기록영상의 화질 개선을 위해 SRGAN 기반의 초해상화 복원영상 생성 프레임워크의 적용을 제안한다. Image aumentation과 median filter를 적용한 데이터셋과 적대적 신경망인 Generative Adversarial Network (GAN)을 기반으로 딥러닝 네트워크를 구축하여 입력된 Low-Resolution 이미지를 통해 High-Resolution의 복원 영상을 생성한다. 이 연구를 통해 국가무형문화재 기록영상 뿐만 아니라 문화재 전반의 사진 및 영상 기록 자료의 품질 개선 가능성을 제시하고, 영상 기록 자료의 아카이브 구축을 통해 지속적인 활용의 기초연구가 되는 것을 목표로 한다.

• Journal of the Korean Graphic Arts Communication Society
• /
• v.31 no.1
• /
• pp.15-37
• /
• 2013

Split digital printing into interior and outdoors on present advertisement. When is printing machine for interior mainly, use ink of water-based type. Equipment of this type embodies high resolution, but ink special quality light stability is weak. Also, when is printing machine for outdoors, printing machines of solvent or UV type are used because of water resistance and light stability. This printing machines hard to embody ink special quality high resolution mainly. And because outside is far visibility range, is uncommon in case high resolution requires embodiment. Therefore, high resolution of inside is water-based type considering this item and outside printing machine of low resolution solvent type mainly announce. Also, divide into eco-friendly latex ink type that is announced to water-based, solvent, UV according to ink type and the latest market using in occasion of digital printing machine used as advertisement industry. Color management that is been consistent of original image has a lot of difficulties by using substrate that is also various to digital printing machine for such various advertisement. But, consumers is rising realization about color or desire about quality improvement of color gradually in interior outside advertisement market. So, require solution method. Therefore, in this paper, eco-friendly ink use applied device calibration through linearization in done latex digital printing machine to basis. And studied right color management plan of digital printing for interior outside advertisement through three steps such as G7 calibration application and ICC profile application.

• Journal of Korean Society for Geospatial Information Science
• /
• v.18 no.2
• /
• pp.35-45
• /
• 2010

The objective of this study is to verify the positional accuracy by performing the orthometric corrections on the high resolution satellite images and to analyze the band correlation between the high resolution images corrected with orthometric correction. The objectives also included an analysis on the correlation of NDVI. For the orthometric correction of images from KOMPSAT2 and IKONOS, systematic errors were removed in use of RPC data, and non-planar distortions were corrected with GPS surveying data. Also, by preempting the image points at the same positions within ortho images, a comparison was performed on positional accuracies between image points of each image and GPS surveying points. The comparison was also made on the positional accuracies of image points. between the images. For correlation of band and correlation of NDVI, the descriptive statistics of DN values were acquired for respective bands by adding the Quickbird images and Aerial Photographs undergone through orthometric correction at the time of purchase. As result, from a comparison on positional accuracies of Orthoimages from KOMPSAT2 and Ortho Images of IKONOS was made. From the comparison the distance between the image points within each image and GPS surveying points was identified as 3.41m for KOMPSAT2 and as 1.45m for IKONOS, presenting a difference of 1.96m. Whereas, RMSE between image points was identified as 1.88m. The level of correlation was measured by using Quickbird, KOMPSAT2, IKONOS and Aerial Photographs between inter-image bands and NDVI, showing that there were high levels of correlation between Quickbird and IKONOS identified from all bands as well as from NDVI, except a high level of correlation that was identified between the Aerial Photographs and KOMPSAT2 from Band 2. Low levels of correlation were also identified between Quickbird and Aerial Photographs from Band 1. and between KOMPSAT2 and IKONOS from Band 2 and Band 4, whereas, KOMPSAT2 showed low correlations with Aerial Photographs from Band 3. For NDVI, KOMPSAT2 showed low level of correlations with both of QuickBird and IKONOS.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.3
• /
• pp.593-598
• /
• 2006

High-resolution satellite imagery has many benefits, compared to aerial photo in the wide area as well as multi-spectral character. So, it can be used well for constructing GIS data when making digital map. This study analysed the possibilities that road information derived automatically from IKONOS can be used for making ITS system or updating digital map of the urban areas where change frequently and producing satellite image map. In this study, Sobel was applied for road edge dectection after low pass filtering. As the results, it's possible for low pass filtering and high pass filtering to be used as the basic data for ITS construction when extracting edge roads and constructs according to the characteristic of high-resolution satellite imagery.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.18 no.6
• /
• pp.31-36
• /
• 2004

Optical coherence tomography system has been extensively studied because it has some advantages such as imaging of high resolution, low cost, and compact size configuration. In order to obtain high resolution of OCT system we configured OCT system using a femto-second laser. We measure the pulse width using autocorrelator function because a femto-second laser is ultra short pulse. And we measured the practical resolution using theoretical equation and the measurement of reference sample. It is confirmed that the proposed OCT system has 1.5 times higher resolution and un distinctive cross-sectional image than OCT system with SLD as a light source.

• Korean Journal of Remote Sensing
• /
• v.19 no.5
• /
• pp.393-402
• /
• 2003

In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.