• 제목/요약/키워드: compression coding

검색결과 828건 처리시간 0.037초

Medical Image Data Compression Using a Variable Block Size Vector Quantization (가변 블록 벡터양자화를 이용한 의용영상 데타터 압축)

  • 박종규;정회룡
    • Journal of Biomedical Engineering Research
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    • 제10권2호
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    • pp.173-178
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    • 1989
  • A vector quantization technique using a variable block size was applied to image compression of digitized X -ray films. Whether the size of VQ block should be subdivided or not is determined experimentally by the threshold value. The simulation result shows that the performance of the proposed vector quantizer is suitable for the medical image coding, which is applicable to PACS( Picture Archiving and Communication System).

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SPECTRAL RADIUS OF BIORTHOGONAL WAVELETS WITH ITS APPLICATION

  • Zou, Qingyun;Wang, Guoqiu;Yang, Mengyun
    • Journal of the Korean Mathematical Society
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    • 제51권5호
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    • pp.941-953
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    • 2014
  • In this paper, a 2-circular matrix theory is developed, and a concept of spectral radius for biorthogonal wavelet is introduced. We propose a novel design method by minimizing the spectral radius and obtain a wavelet which has better performance than the famous 9-7 wavelet in terms of image compression coding.

Image Data Compression by a DPCM/RLC Method (DPCM/RLC방법에 의한 영상데이터 감축)

  • 안창범;김남철;김재균
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제8권4호
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    • pp.145-150
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    • 1983
  • The runlength coding algorithm widely used for graphic data compression is extended for multi-level general images. It is applied to the quantized prediction error signal obtained by a simple predictor and quantizer. It is shown that this DPCM/RLC algorithm of a modest complexity performs much better than the conventional discrete consine transform and DPCM methods.

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Near Lossless Compression of Medical luges with Vector Quantizer (Vector quantizer를 이용한 near lossless 의학 영상 압축)

  • Song, Y.C.;Ahn, C.B.
    • Proceedings of the KIEE Conference
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.1362-1364
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    • 1996
  • In this paper a Dear lossless compression of medical images with vector quantizer is proposed. In order to apply the vector quantizer to medical images, the peak error in the reconstructed image is reduced down to 1. Simulation results show that the proposed coding scheme provides better performance with a PSNR improvement compared to the conventional JPEG standard.

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Design and Implementation of a Realistic Multi-View Scalable Video Coding Scheme (실감형 다시점 스케일러블 비디오 코딩 방법의 설계 및 구현)

  • Park, Min-Woo;Park, Gwang-Hoon
    • Journal of Broadcast Engineering
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    • 제14권6호
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    • pp.703-720
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    • 2009
  • This paper proposes a realistic multi-view scalable video coding scheme designed for user's interest in 3D content services and the usage in the future computing environment. Future video coding schemes should support realistic services that make users feel the 3-D presence through stereoscopic or multi-view videos, as well as to accomplish the so-called one-source multi-use services in order to comprehensively support diverse transmission environments and terminals. Unlike the most of video coding methods which only support two-dimensional display, the proposed coding scheme in this paper is the method which can support such realistic services. This paper designs and also implements the proposed coding scheme through integrating Multi-view Video Coding scheme and Scalable Video Coding scheme, then shows its possibility of realization of 3D services by the simulation. The simulation results show the proposed structure remarkably improves the performance of random access with almost the same coding efficiency.

BTC Algorithm Utilizing Multi-Level Quantization Method for Image Compression (Multi-Level 양자화 기법을 사용한 BTC 영상 압축 알고리즘)

  • Cho, Moonki;Yoon, Yungsup
    • Journal of the Institute of Electronics and Information Engineers
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    • 제50권6호
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    • pp.114-121
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    • 2013
  • BTC image compression is a simple and easy hardware implementation, is widely used in a video compression techniques required for LCD overdrive. In this paper, methods for reducing compression loss, a multi-level quantization BTC (MLQ-BTC) algorithm is proposed. The process of the MLQ-BTC algorithm is, a input image is compressed and decompressed by Quasi 8-level method and Advanced 2-level BTC method, and select the algorithm with the smallest compression loss. Simulation results show that the proposed algorithm is efficient as compared with PSNR and compression ratio of the existing BTC methods.

A Study on the Improvement of Compression Method Using Hilbert Curve Scanning for the Medical Images (Hilbert 곡선 Scan 방법을 이용한 의학 영상의 압축 방법에 관한 연구)

  • 지영준;박광석
    • Journal of Biomedical Engineering Research
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    • 제14권1호
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    • pp.9-16
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    • 1993
  • For efficient storage and transmission of medical images, the requirement of image com pression is increasing. Because differences between reconstructed images and original images are related with errors In the diagnosis, lossless compression is generally preferred in mod- ical images. in Run Length Coding which is one of the lossless compression method, we have applied modified scanning direction based on the Hilbert curve, which is a kind of space fill ins curve. We have substituted the traditional raster scanning by Hilbert curve direction scanning. Using this method, we have studied enhancement of compression efficiency for medical images.

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Focal Stack Based Light Field Coding for Refocusing Applications

  • Duong, Vinh Van;Canh, Thuong Nguyen;Huu, Thuc Nguyen;Jeon, Byeungwoo
    • Journal of Broadcast Engineering
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    • 제24권7호
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    • pp.1246-1258
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    • 2019
  • Since light field (LF) image has huge data volume, it requires high-performance compression technique for efficient transmission and storage of its data. Camera users may like to represent parts of image at different levels of focus at their choice anytime. To address this refocusing functionality, in this paper, we first render a focal stack consisting of multi-focus images, then compress it instead of original LF data. The proposed method has advantage of minimizing the amount of LF data to realize the targeted refocusing applications. Our experiment results show that the proposed method outperforms the state-of-the-art for LF image compression method.

Performance Comparison of the JPED and Full Frame Bit Allocation Techniques for Medical Image Compression

  • Ahn, C.B.;Ro, D.W.;Lee, J.S.
    • Proceedings of the KOSOMBE Conference
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    • 대한의용생체공학회 1992년도 춘계학술대회
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    • pp.58-63
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    • 1992
  • The discrete cosine transform (DCT)-based progressive coding standard proposed by the International Standardization Orgnnization (ISO) Joint Photographic Experts Groups (JPEG) is investigated for medical image compression and the performance of the JPEG is compared to that of the full-frame bit-allocation (FFBA) technique. From the comparison, the JPEG standard appeals superior to the FFBA technique in the following aspects: 1) JPEG achieves higher compression than the FFBA technique with less mean square error. 2) Less Gibb's artifact is observed in the compressed images by the JPEG. 3) Computational time for the JPEG is about one-fourth or the FFBA technique. Other attractive points of the JPEG include: Implementation of the JPEG with VLSIs is commercially available in relative low price and the JPEG compression format can easily be interchangeable with other applications.

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A Memory-Efficient VLC Decoder Architecture for MPEG-2 Application

  • Lee, Seung-Joon;Suh, Ki-bum;Chong, Jong-wha
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.360-363
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    • 1999
  • Video data compression is a major key technology in the field of multimedia applications. Variable-length coding is the most popular data compression technique which has been used in many data compression standards, such as JPEG, MPEG and image data compression standards, etc. In this paper, we present memory efficient VLC decoder architecture for MPEG-2 application which can achieve small memory space and higher throughput. To reduce the memory size, we propose a new grouping, remainder generation method and merged lookup table (LUT) for variable length decoders (VLD's). In the MPEG-2, the discrete cosine transform (DCT) coefficient table zero and one are mapped onto one memory whose space requirement has been minimized by using efficient memory mapping strategy The proposed memory size is only 256 words in spite of mapping two DCT coefficient tables.

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