• 제목/요약/키워드: 정지영상 압축

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Fast Computation of DWT and JPEG2000 using GPU (GPU를 이용한 DWT 및 JPEG2000의 고속 연산)

  • Lee, Man-Hee;Park, In-Kyu;Won, Seok-Jin;Cho, Sung-Dae
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.6
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    • pp.9-15
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    • 2007
  • In this paper, we propose an efficient method for Processing DWT (Discrete Wavelet Transform) on GPU (Graphics Processing Unit). Since the DWT and EBCOT (embedded block coding with optimized truncation) are the most complicated submodules in JPEG2000, we design a high-performance processing framework for performing DWT using the fragment shader of GPU based on the render-to-texture (RTT) architecture. Experimental results show that the performance increases significantly, in which DWT running on modern GPU is more than 10 times faster than on modern CPU. Furthermore, by replacing the DWT part of Jasper which is the JPEG2000 reference software, the overall processing is 2$\sim$16 times faster than the original JasPer. The GPU-driven render-to-texture architecture proposed in this paper can be used in the general image and computer vision processing for high-speed processing.

Digital Watermarking using the Channel Coding Technique (채널 코딩 기법을 이용한 디지털 워터마킹)

  • Bae, Chang-Seok;Choi, Jae-Hoon;Seo, Dong-Wan;Choe, Yoon-Sik
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.10
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    • pp.3290-3299
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    • 2000
  • Digital watermarking has similar concepts with channel coding thechnique for transferring data with minimizing error in noise environment, since it should be robust to various kinds of data manipulation for protecting copyrights of multimedia data. This paper proposes a digital watermarking technique which is robust to various kinds of data manipulation. Intellectual property rights information is encoded using a convolutional code, and block-interleaving technique is applied to prevent successive loss of encoded data. Encoded intelloctual property rithts informationis embedded using spread spectrum technique which is robust to cata manipulation. In order to reconstruct intellectual property rights information, watermark signalis detected by covariance between watermarked image and pseudo rando noise sequence which is used to einbed watermark. Embedded intellectual property rights information is obtaned by de-interleaving and cecoding previously detected wtermark signal. Experimental results show that block interleaving watermarking technique can detect embedded intellectial property right informationmore correctly against to attacks like Gaussian noise additon, filtering, and JPEG compression than general spread spectrum technique in the same PSNR.

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Parameters to Select the Image Encoding in Real Time Remote Lecture (실시간 원격 강의에서 영상 인코딩 기법을 적용하기 위한 요소)

  • Lee, Bu-Kweon;Seo, Yeong-Geon;Park, Sun-Hwa;Kim, Ho-Yong;Kim, Hyung-Jun
    • Journal of Digital Contents Society
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    • v.9 no.4
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    • pp.687-695
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    • 2008
  • One of the most significant characteristics of remote real time lecture, the emerging still image standard, is the OOI (Object of Interest) coding. The functionality of OOI is important in applications where certain parts of the image are more important than others. In such cases, these objects need to be encoded at higher quality than the background. JPEG2000 provides a number of OOI coding mechanisms. Many researchers have actively studied the preferred processing from the OOI coding methods to the new methods complementing them. But, there do not exist OOI coding methods suitable for all applications. Therefore, this study shows a criterion to select according to the application requirements for applying the best OOI coding method in JPEG2000 applications, and also shows the experimental results deciding the best parameters in the selected methods.

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Analysis of Feature Map Compression Efficiency and Machine Task Performance According to Feature Frame Configuration Method (피처 프레임 구성 방안에 따른 피처 맵 압축 효율 및 머신 태스크 성능 분석)

  • Rhee, Seongbae;Lee, Minseok;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.318-331
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    • 2022
  • With the recent development of hardware computing devices and software based frameworks, machine tasks using deep learning networks are expected to be utilized in various industrial fields and personal IoT devices. However, in order to overcome the limitations of high cost device for utilizing the deep learning network and that the user may not receive the results requested when only the machine task results are transmitted from the server, Collaborative Intelligence (CI) proposed the transmission of feature maps as a solution. In this paper, an efficient compression method for feature maps with vast data sizes to support the CI paradigm was analyzed and presented through experiments. This method increases redundancy by applying feature map reordering to improve compression efficiency in traditional video codecs, and proposes a feature map method that improves compression efficiency and maintains the performance of machine tasks by simultaneously utilizing image compression format and video compression format. As a result of the experiment, the proposed method shows 14.29% gain in BD-rate of BPP and mAP compared to the feature compression anchor of MPEG-VCM.

A VLSI Efficient Design and Implementation of EBCOT for JPEG2000 (JPEG2000을 위한 효율적인 EBCOT의 VLSI 설계 및 구현)

  • Yang, Sang-Hoon;Yoo, Hyuck-Min;Park, Dong-Sun;Yoon, Sook
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.37-43
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    • 2009
  • The new still image compression standard JPEG2000 is consisted of DWT and EBCOT. In this paper, proposed and designed new algorithm in efficient EBCOT. BPC based on the contort. Proposed BPC Algorithm is forecasted coding pass using Sigstage, column, mpass value. BAC design apply 4-pipeline stage. EBCOT designed using Verilog HDL. Verification and Synthesis using Xillinx FPGA technology.

A VLSI Design of Entropy Coding Algorithm for JPEG2000 CODEC (JPEG2000 CODEC을 위한 Entropy 코딩 알고리즘의 VLSI 설계)

  • Lee, Kyoung-Min;Oh, Kyoung-Ho;Jung, Il-Hwan;Kim, Young-Min
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1C
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    • pp.35-44
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    • 2004
  • In this paper, we design an efficient VLSI architecture of entropy coding algorithm in JPEG2000. Entropy coder is a context-based binary arithmetic encoder, and composed of a Context Extractor(CE) and an Arithmetic Coder(AC). We speed-up CE by skipping no-operation bits in coding passes, and AC is to be performed based on MQ coder. Because of using Qe value associated with each allowed context and probability estimation, MQ coder is a multiplication free coder that reduces computation loads and makes simple the structure of arithmetic coder. We have developed and synthesized the VHDL models of CE and AC pairs using Xilinx FPGA technology. The proposed architecture operates up to 30MHz.

A VLSI Efficient Design and Implementation of Bit Plane Coding Algorithm for JPEG2000 (JPEG2000을 위한 Bit Plane Coding Algorithm의 효율적인 VLSI 설계 및 구현)

  • Yang, Sang-Hoon;Min, Byung-Jun;Park, Dong-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.1
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    • pp.146-150
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    • 2009
  • Nowdays needs the new still image compression standard. JPEG2000 has been developed. JPEG2000 divide DWT and EBCOT. EBCOT is consisted of Bit Plane Coding and ARithmetic Coding algorithm. In this paper, we proposed BPC algorithm that is efficient context-based generation. Proposed BPC Algorithm forecasted coding pass using SigStage, column, mpass value. BPC designed using Verilog HDL. H/W implemenates using Xillinx FPGA technology.

A VLSI Design of Discrete Wavelet Transform and Scalar Quantization for JPEG2000 CODEC (JPEG2000 CODEC을 위한 DWT및 양자화기 VLSI 설계)

  • 이경민;김영민
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.1
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    • pp.45-51
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    • 2003
  • JPEG200, a new international standard for still image compression based on wavelet and bit-plane coding techniques, is developed. In this paper, we design the DWT(Discrete Wavelet Transform) and quantizer for JPEG2000 CODEC. DWT handles both lossy and lossless compression using the same transform-based framework: The Daubechies 9/7 and 5/3 transforms, and quantizer is implemented as SQ(Scalar Quantization). The architecture of the proposed DWT and SQ are synthesized and verified using Xilinx FPGA technology. It operates up to 30MHz, and executes algorithms of wavelet transform and quantization for VGA 10 frame per second.

Digital watermarking algorithm for authentication and detection of manipulated positions in MPEG-2 bit-stream (MPEG-2비트열에서의 인증 및 조작위치 검출을 위한 디지털 워터마킹 기법)

  • 박재연;임재혁;원치선
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.5
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    • pp.378-387
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    • 2003
  • Digital watermarking is the technique that embeds invisible signalsincluding owner identification information, specific code, or pattern into multimedia data such as image, video and audio. Watermarking techniques can be classified into two groups; robust watermarking and fragile(semi-fragile) watermarking. The main purpose of the robust watermarking is the protection of copyright, whereas fragile(semi-fragile) watermarking prevents image or video data from illegal modifications. To achieve this goal watermark should survive from unintentional modifications such as random noise or compression, but it should be fragile for malicious manipulations. In this paper, an invertible semi-fragile watermarkingalgorithm for authentication and detection of manipulated location in MPEG-2 bit-stream is proposed. The proposed algorithm embeds two kinds of watermarks, which are embedded into quantized DCT coefficients. So it can be applied directly to the compressed bit-stream. The first watermark is used for authentication of video data. The second one is used for detection of malicious manipulations. It can distinguish transcodingin bit-stream domain from malicious manipulation and detect the block-wise locations of manipulations in video data. Also, since the proposed algorithm has an invertible property, recovering original video data is possible if the watermarked video is authentic.

A Study on the Still Image Compression using the Low Pass Filter (로우 패스 필터를 이용한 정지 영상 압축에 관한 연구)

  • 김성종;신인철
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1997.11a
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    • pp.91-101
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    • 1997
  • The demand for handling images in digital form has increased dramatically in recent years. Digital image compression is required to store and transmit mass information in different from general information. JPEG(Joint Photographic Experts Group) committee founded by CCITT and ISO is define the still-image standard compression/restoration algorithm. JPEG is proposed the standard of grayscale and color still-image compression/restoration. In the image quality, JPEG is applicable to the various applications in which compression is able to from 1/10 to 1/50 without the visible obstacle. In this paper, we proposed that the proposed method enhance the compression ratio which is reducing the higher frequency in order to increasing the spatial redundancy in the image. The proposed method is using the low pass filter in order to reducing the higher frequency. The low-pass filters are using the median filter and convolution filter in the spatial domain, FFT filter in the frequency domain. We acquired the additive compression ratio reducing the higher frequency using the low-pass filter.

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