• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.1
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• pp.8-18
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• 2008

In this paper, we propose an efficient algorithm using wavelet transform for still image database retrieval. Especially, it uses only the lowest frequency sub-band in multi-level wavelet transform so that a retrieval system uses a smaller quantity of memory and takes a faster processing time. We extract different textured features, statistical information such as mean, variance and histogram, from low frequency sub-band. Then we measure the distances between the query image and the images in a database in terms of these features. To obtain good retrieval performance, we use the first feature (mean and variance of wavelet coefficients) to filter out most of the unlikely images. The rest of the images are considered to be candidate images. Then we apply the second feature (histogram of wavelet coefficient) to rank all the candidate images. To evaluate the algorithm, we create various distorted image databases using MIT VisTex texture images and PICS natural images. Through simulations, we demonstrate that our method can achieve performance satisfactorily in terms of the retrieval accuracy as well as the both memory requirement and computational complexity. Therefore it is expected to provide good retrieval solution for JPEG-2000 using wavelet transform.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.1
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• pp.10-14
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• 2015

Video Content owners seek to squeeze the maximum amount of revenue from their assets via distribution into more territories. Digital Cinema Package(DCP), trusted solution to distribute protected content to theaters, caters to relatively small user base, which limits revenue. With the growth of the Internet & other digital media, the economics of media content has changed dramatically. Security remains main concern to deliver content to millions of consumers using intelligent digital display devices like Tablets, Smartphones, Smart TVs, Desktop & Laptop. By making the video content available to this segment securely, content owners will benefit from increased revenue. Through this paper we propose Open Source HomeDCP model to distribute the content to home users for offline viewing. We propose to include other open source CODEC than JPEG2000/MPEG2, which are specifically designed for theatrical performance. Final image size will be further reduced considering the display device resolution where video will be finally played. Key Delivery Message(KDM) system to be altered to suit new devices. This will be a big boost to Content Economy as content owners would be able to distribute the content securely to the wider audience & ensure more revenue.

• The Journal of Korean Association of Computer Education
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• v.9 no.2
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• pp.101-109
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• 2006

We propose an adaptive digital watermarking algorithm using HVS(human visual system) and SOM(Self-Organizing Map) among neural networks. This method adjusts adaptively the strength of the watermark which is embedded in different blocks according to block classification in DCT(Discrete Cosine Transform) domain. All blocks in 3 classes out of 4 are selected to embed a watermark. Watermark sequences are embedded in 6 lowest frequency coefficients of each block except the DC component. The experimental results are excellent.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.52 no.5
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• pp.311-321
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• 2003

In an emergency telemedicine system such as the High-quality Multimedia based Real-time Emergency Telemedicine(HMRET) service, it is very important to examine the status of the patient continuously using the multimedia data including the biological signals(ECG, BP, Respiration, $SpO_2)$ of the patient. In order to transmit these data real time through the communication means which have the limited transmission capacity, it is also necessary to compress the biological data besides other multimedia data. For this purpose, we investigate and compare the ECG compression techniques in the time domain and in the wavelet transform domain, and present an effective lossless compression method of the biological signals using PEG Huffman table for an emergency telemedicine system. And, for the HMRET service, we developed the lossless compression and reconstruction program or the biological signals in MSVC++ 6.0 using DPCM method and JPEG Huffman table, and tested in an internet environment.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.11
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• pp.151-154
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• 1996

A medical record and radiographic image transmission system has been developed using high speed communication network. The databases are designed to store and transmit the data acquired from the scanner. To maximally utilize the communication bandwidth, the medical records and radiographic images are compressed using the G3 facsimile and JPEG coding standard method respectively. TCP/IP, OOP and window based system software enables the modular design, future expandability, open system interconnectivity, and graphical user interface. In addition, the fast and easy data base access capability and diverse image manipulation functions are also implemented.

• The KIPS Transactions:PartA
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• v.12A no.4 s.94
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• pp.313-320
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• 2005

The 2-D discrete cosine transform (DCT) is an integral part of video and image processing; it is used in both the PEG and MPEG enciding standards. As streaming video is brought to mobile devices, it becomes important that it is possible to calculate the DCT in an energy-efficient manner. In this paper, we present a new algorithm the DCT with a linear array PEs. This design is optimized for energy efficiency. We analyze the energy, area, and latency tradeoffs available with this design and then compare its energy dissipation, area, and latency to those of Xilinx's optimized IP core.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.810-814
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• 2002

According to the image level definition for KOMPSAT-2 in KOMPSAT-2 Ground Station Specification, the level 0 is frame formatted, unprocessed data at full resolution; any and all communications artifacts (e.g., synchronization frames, communications headers) removed. The level 0 is used for two purposes: 1) exchange of imagery between image receiving & processing element (IRPE), and 2) image transfer from the Receiving & Archiving Subsystem to Search & Processing Subsystem. On-board processing of imagery data of KOMPSAT-2 includes JPEG-like compression and encryption besides conventional CCSDS packetization. The encryption is used to secure imagery data from any intervention during downlink and compression allows real-time downlink of image data reducing data rate produced from the camera. While developing ground receiving system for KOMPSAT-2, it was necessarily to define level 0 products. In this paper, we will suggest level 0 product definition for KOMPSAT-2 and explain reasons of the decisions made. The key factor used while defining the level 0 products is the efficiency of whole ground receiving system. The latter half of the paper will explain the implementation of software that generates level 0 products. The necessary steps to produce level 0 products will be explained, and the performance achieved will be presented.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10b
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• pp.367-372
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• 2007

이 논문에서는 시스템 수준의 가상프로토타이핑 환경을 자동으로 생성하고 이를 위한 소프트웨어 환경을 생성하는 프레임워크를 제안한다. 가상프로토타이핑 자동 생성 프레임워크는 Y-chart 접근법을 기반으로 한다. 알고리즘의 명세를 위해서는 SDF 모델 기반의 방법과 사용자가 직접 Task를 기술할 수 있는 방법을 제공하고 아키텍처 명세를 위해서는 플랫폼 기반의 기술 방법을 제공한다. 플랫폼 명세는 시스템에 사용되는 모듈에 대한 인터페이스 파일을 명세하고 그래픽 기반의 플랫폼 기술을 제공하여 사용자가 쉽게 플랫폼 구성을 변경할 수 있도록 했다. 인터페이스 파일에 모듈을 사용하기 위한 디바이스 드라이버의 정보를 명세하여 소프트웨어 생성 시 모듈을 사용하기 위한 코드가 자동으로 삽입되도록 하였다. 프로세서의 시뮬레이션은 빠른 소프트웨어의 기능 개발과 설계 공간 탐색을 위해 지연시간이 기술된 코드를 호스트에서 직접 수행하는 방법과 검증을 위하여 컴파일 된 이미지를 ISS를 사용하여 시뮬레이션 하는 두 가지 방법을 제공한다. 실험에서는 JPEG decoder를 기술하고 가상프로토타이핑에서 수행해봄으로 해당 프레임워크가 효과적으로 사용될 수 있음을 보였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.287-290
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• 2009

무선 통신 기술과 하드웨어의 발전으로 인해 무선 센서 네트워크를 위한 센서 노드들은 저전력화 및 소형화되었고, 사용 목적에 따라 많은 연구가 진행되고 있다. 최근 들어서는 온도나 가속도 등의 간단한 정보뿐만 아니라 이미지를 센싱할 수 있는 초소형 카메라 등을 이용한 멀티미디어 센서 네트워크에 대한 연구도 활발히 이루어지고 있다. 이미지 센싱에 있어서는 CCD Sensor에 비해 적은 전력을 소모하고 빠른 전송에 적합한 CMOS Sensor가 최근의 연구에 이용되고 있다. 이러한 추세에서 실시간의 데이터 검출을 위한 센서와 네트워크의 기능이 통합된 프로세서 구조의 기능이 요구되고 있다. 기존의 무선 이미지 전송 기술을 살펴보면 범용성 제어의 사용으로 데이터의 전송 처리를 위한 대역폭이 제한되고, 내부 메모리 또한 적은 용량으로 제한되어 있다. 한 예로 JPEG으로 압축된 이미지라도 데이터의 크기가 수 Kbytes에 이르기 때문에 전체 데이터를 한 번에 전송받지 못해 전송 속도나 패킷 정확도에 있어 효율이 떨어지게 된다. 따라서 실시간의 데이터의 전송에는 부족한 면이 있다. 본 논문에서는 CMOS Sensor Module을 이용하여 RT-WISN을 구성하였다. 구성된 센서 네트워크를 통하여 Peer to Peer에서 이미지의 데이터 크기에 따른 전송 시간을 측정하고 RT-WISN이 실시간 전송에 적합함을 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4005-4025
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• 2019

Copy-move forgery (CMF) in digital images is a detrimental tampering of artefacts that requires precise detection and analysis. CMF is performed by copying and pasting a part of an image into other portions of it. Despite several efforts to detect CMF, accurate identification of noise, blur and rotated region-mediated forged image areas is still difficult. A novel algorithm is developed on the basis of quaternion polar complex exponential transform (QPCET) to detect CMF and is conducted involving a few steps. Firstly, the suspicious image is divided into overlapping blocks. Secondly, invariant features for each block are extracted using QPCET. Thirdly, the duplicated image blocks are determined using k-dimensional tree (kd-tree) block matching. Lastly, a new technique is introduced to reduce the flat region-mediated false matches. Experiments are performed on numerous images selected from the CoMoFoD database. MATLAB 2017b is used to employ the proposed method. Metrics such as correct and false detection ratios are utilised to evaluate the performance of the proposed CMF detection method. Experimental results demonstrate the precise and efficient CMF detection capacity of the proposed approach even under image distortion including rotation, scaling, additive noise, blurring, brightness, colour reduction and JPEG compression. Furthermore, our method can solve the false match problem and outperform existing ones in terms of precision and false positive rate. The proposed approach may serve as a basis for accurate digital image forensic investigations.