• 디지털콘텐츠학회 논문지
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• 제6권3호
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• pp.169-174
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• 2005

본 논문은 Verilog HDL로 FPGA에 JPEG Decoder를 구현하여 TV에 JPEG 영상을 디스플레이 하기 위한 JPEG Image Display Board 설계 방법을 제안한다. 본 논문은 FPGA에 Decoder Algorithm을 구현하기 위한 효율적인 방안을 제시하였으며 JPEG Decoder Algorithm은 JPEG Standard Baseline에 기준으로 하여 설계 하였다. 압축된 JPEG bit stream을 저장하기 위하여 Nand Flash Memory를 사용하였으며, JPEG Decoding된 영상을 TV화면에서 확인하기 위하여 Video Encoder를 사용하였다. 또 한 JPEG 영상에 Text data를 쓰기 위하여 YCbCr의 출력 bit를 RGB 24bit로 변환하였다. Video Encoder에 변환된 RGB Data를 동기시켜 출력하기 위하여 CVBS 입력을 Sync Separator에 의해 Hsync, Vsync, Sync, Field signal로 분리하였다. 또한 Display B/D상의 스위치를 통하여 JPEG 모드와 일반영상 모드를 선택할 수 있게 입증하였다.

• 한국인쇄학회:학술대회논문집
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• 한국인쇄학회 2000년도 춘계 학술발표회 논문집
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• pp.17-24
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• 2000

The Joint Photographic Experts Group (JPEG) is a standara still-image compression technique, established by the International for Standardization (ISO) and International Telecommunication Standardization Sector (ITUT). The standard is intended to be utilized in the various kinds of color still imaging systems as a standard color image coding format. Because JPEG is a lossy compression, the decompressed image pixel values are nto the same as values before compression. Image of JPEG compression is often made to JPEG recompression at saving to apply JPEG compression of color image. In general, JPEG is a lossy compression and compression image is predicted to be varied image quality according to recompressed Q-factor. Various distortions of JPEG compression and JPEG recompression has been reported in previous paper. In this paper, we compress four difference color samples (photo image, gradient image, vector drawing image, text image) according to various Q-factor, and then compressed images are recompressed according to various Q-factor once again. As the results, we inspect variation of quality and file size of recompressed color image, and ensure the optimum recompression factor.

• 한국인쇄학회지
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• 제18권2호
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• pp.55-68
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• 2000

Joint photographic experts group (JPEG) is a standard still-image compression technique, established by the international organization for standardization (ISO) and international telecommunication standardization sector (ITUT). The standard is intended to be utilized in the various kinds of color still imaging systems as a standard color image coding format. Because JPEG is a lossy compression, the decompressed image pixel values are not the same as the value before compression. Various distortions of JPEG compression and JPEG recompression has been reported in various papers. The Image compressed by JPEG is often recompressed by same type compression method in JPEG. In general, JPEG is a lossy compression and the quality of compressed image is predicted that is varied in according to recompression Q-factor. In this paper, four difference color samples(photo image, gradient image, gradient image, vector drawing image, text image) were compressed in according to various Q-factor, and then the compressed images were recompressed according to various Q-factor once again. As the result, this paper evaluate the variation of image quality and file size in JPEG recompression and recommed the optimum recompression factor.

• Imaging Science in Dentistry
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• 제34권3호
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• pp.117-122
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• 2004

Purpose : To determine the proper image compression method and ratio without image quality degradation in intraoral digital radiographic images, comparing the discrete cosine transform (DCT)-based JPEG with the wavelet-based JPEG 2000 algorithm. Materials and Methods : Thirty extracted sound teeth and thirty extracted teeth with occlusal caries were used for this study. Twenty plaster blocks were made with three teeth each. They were radiographically exposed using CDR sensors (Schick Inc., Long Island, USA). Digital images were compressed to JPEG format, using Adobe Photoshop v.7.0 and JPEG 2000 format using Jasper program with compression ratios of 5 : 1,9 : 1, 14 : 1,28 : 1 each. To evaluate the lesion detectability, receiver operating characteristic (ROC) analysis was performed by the three oral and maxillofacial radiologists. To evaluate the image quality, all the compressed images were assessed subjectively using 5 grades, in comparison to the original uncompressed images. Results: Compressed images up to compression ratio of 14 : 1 in JPEG and 28 : 1 in JPEG 2000 showed nearly the same the lesion detectability as the original images. In the subjective assessment of image quality, images up to compression ratio of 9 : 1 in JPEG and 14 : 1 in JPEG 2000 showed minute mean paired differences from the original Images. Conclusion : The results showed that the clinically acceptable compression ratios were up to 9 : 1 for JPEG and 14 : 1 for JPEG 2000. The wavelet-based JPEG 2000 is a better compression method, comparing to DCT-based JPEG for intraoral digital radiographic images.

• 대한의용생체공학회:의공학회지
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• 제15권2호
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• pp.175-182
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• 1994

The international standard for digital compression and coding of continuous-tone still image known as JPEG (Joint Photographic Experts Group) standard is investigated for medical image archiving and communication. The JPEG standard has widely been accepted in the areas of electronic image communication, computer graphics, and multimedia applications, however, due to the lossy character of the JPEG compression its application to the field of medical imaging has been limited. In this paper, the JPEG standard is investigated for medical image compression with a series of head sections of magnetic resonance (MR) images (256 and 4096 graylevels, $256 {\times}256$size). Two types of Huffman codes are employed, i. e., one is optimized to the image statistics to be encoded and the other is a predetermined code, and their coding efficiencies are examined. From experiments, compression ratios of higher than 15 were obtained for the MR images without noticeable distortion. Error signal in the reconstructed images by the JPEG standard appears close to random noise. Compared to existing full-frame bit-allocation technique used for radiological image compression, the JPEG standard achieves higher compression with less Gibb's artifact. Feature of the progressive image build-up of the JPEG progressive coding may be useful in remote diognosis when data is transmitted through slow public communication channel.

• 한국멀티미디어학회논문지
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• 제3권1호
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• pp.53-62
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• 2000

디지털 워터마킹은 디지털 컨텐츠의 저작권을 보호하기 위한 중요한 기술로 취급되어 오고 있다. 삽입되는 워터마크는 압축, 필터링에서 cropping에 이르기까지 다양한 공격에 대하여 견고하여야 한다. 특히, JPEG은 인터넷 응용을 위한 뛰어난 정지 영상 압축 표준이기 때문에 JPEG 압축에 견관 디지털 워터마킹 기법이 특별히 요구된다. 지금까지 제안된 대부분의 디지털 워터마킹 기법은 JPEG의 품질수준(quality level)을 고려하지 않고 픽셀이나 계수를 변조하여 처리한다. 이것은 워터마크의 제거가 쉽게 이루어진다. 본 논문에서는 JPEG 압축시에 발생되는 영상의 손실을 계산하기 위해 JPEG 압축의 품질 계수를 워터마크 삽입 시의 파라메터로써 이용하여 JPEG 압축에 의한 차를 계산한다. 인간 시각의 성질 중에서 밝기 차의 식별력을 고려함과 동시에 영상의 에지 정보를 이용한 시각 성분을 계산한다. 이와 같이 JPEG 압축에 의한 영상의 손실과 인간의 시각 성질을 고려한 워터마크를 구성한 후에 영상에 삽입하는 새로운 디지털 워터마킹 기법을 제안한다.

• International journal of advanced smart convergence
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• 제6권1호
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• pp.68-75
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• 2017

In this paper, a particular application of digital photos, remote sensing, remote shooting air moving, high-resolution and high compression of medical images required by remote shooting of JPEG2000 standard applied in the field of hardware design, production was implemented. JPEG2000 standard for image compression using the software implementation of the processing speed is very slow compared to conventional JPEG disadvantages, and also the standard of JPEG2000 DWT (Discrete wavelet transform) to improve the level of compression for image data if processing speed is a phenomenon that has degraded. In order to solve these JPEG2000 compression / decompression groups were designed and applied. In this paper, the optimal JPEG2000 compression / reservoir hardware by changing the level for still image compression, faster computation speed and quality has shown improvement.

• 정보보호학회논문지
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• 제26권2호
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• pp.359-367
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• 2016

스마트폰을 이용한 사진 촬영이 보편화됨에 따라 이미지 조작, 기밀 유출로 인한 사건이 빈번하게 발생되고 있어 이미지 파일의 위변조 여부와 원본 증명에 대한 수요가 꾸준히 증가하고 있다. 일반적으로 스마트폰은 사진 파일을 JPEG 형식의 이미지 파일로 저장하는데 JPEG 이미지의 Header부분에는 이미지의 압축률을 결정하는데 사용되는 DQT가 저장되어 있다. 또한 JPEG 내부 Thumbnail 이미지에도 DQT가 존재한다. 기존의 연구에서는 DQT만을 이용해 이미지를 촬영한 장치를 판별하였다. 하지만 이 연구는 장치를 판별하기에는 정확도가 매우 낮다. 이에 본 논문에서는 DQT 정보뿐만 아니라 Thumbnail 이미지의 DQT 정보에 대한 실험을 통해 사진을 촬영한 스마트폰 기기와 사진 파일을 편집하고 저장한 애플리케이션을 유추할 수 있도록 JPEG 파일의 DQT 정보 및 Thumbnail 이미지의 DQT 정보 데이터베이스를 구축하여 보다 정확한 이미지의 출처 판별을 돕는다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.282-285
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• 2006

This paper analyzed the characteristics of the Lossy JPEG of the meteorological satellite image, and analyzed the quality of the Lossy JPEG compression, which is proper for the LRIT(Low Rate Information Transmission) to be serviced to the SDUS(Small-scale Data Utilization Station) system of the COMS(Communication, Oceans, Meteorological Satellite). Since COMS is to start running after 2008, we collected the data of the MTSAT-1R(Multi-functional Transport Satellite -1R) for analysis, and after forming the original image to be used to LRIT by each channel and time zone of the satellite image data, we set the different quality with the Lossy JPEG compression, and compressed the original data. For the characteristic analysis of the Lossy JPEG, we measured PSNR(Peak Signal to Noise Rate), compression rate and the time spent in compression following each quality of Lossy JPEG compression. As a result of the analysis of the satellite image data of the MTSAT-1R, the ideal quality of the Lossy JPEG compression was found to be 90% in the VIS Channel, 85% in the IR1 Channel, 80% in the IR2 Channel, 90% in the IR3 Channel and 90% in the IR4 Channel.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권9호
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• pp.3672-3684
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• 2015

Recently, the standardization of backward compatible JPEG image coding for high dynamic range (HDR) image has been undertaken to establish an international standard called "JPEG XT." The JPEG XT consists of two layers: the base layer and the residual layer. The base layer contains tone mapped low dynamic range (LDR) image data and the residual layer contains the error signal used to reconstruct the HDR image. This paper gives the result of a study to evaluate the overall performance of tone mapping operators (TMOs) for this standard. The evaluation is performed using five HDR image datasets and six TMOs for profiles A, B, and C of the proposed JPEG XT standard. The Tone Mapped image Quality Index (TMQI) and no reference image quality assessment (NR IQA) are used for measuring the LDR image quality. The peak signal to noise ratio (PSNR) is used to evaluate the overall compression performance of JPEG XT profiles A, B, and C. In TMQI and NR IQA measurements, TMOs using display adaptive tone mapping and adaptive logarithmic mapping each gave good results. A TMO using adaptive logarithmic mapping gave good PSNRs.