• Title/Summary/Keyword: Lossless coding

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VLSI architecture design of CAVLC entropy encoder/decoder for H.264/AVC (H.264/AVC를 위한 CAVLC 엔트로피 부/복호화기의 VLSI 설계)

  • Lee Dae-joon;Jeong Yong-jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.5C
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    • pp.371-381
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    • 2005
  • In this paper, we propose an advanced hardware architecture for the CAVLC entropy encoder/decoder engine for real time video compression. The CAVLC (Context-based Adaptive Variable Length Coding) is a lossless compression method in H.264/AVC and it has high compression efficiency but has computational complexity. The reference memory size is optimized using partitioned storing method and memory reuse method which are based on partiality of memory referencing. We choose the hardware architecture which has the most suitable one in several encoder/decoder architectures for the mobile devices and improve its performance using parallel processing. The proposed architecture has been verified by ARM-interfaced emulation board using Altera Excalibur and also synthesized on Samsung 0.18 um CMOS technology. The synthesis result shows that the encoder can process about 300 CIF frames/s at 150MHz and the decoder can process about 250 CIF frames/s at 140Mhz. The hardware architectures are being used as core modules when implementing a complete H.264/AVC video encoder/decoder chip for real-time multimedia application.

Image Coding Using Bit-Planes of Wavelet Coefficients (웨이블렛 변환 계수의 비트 플레인을 이용한 영상부호화)

  • 김영로;홍원기;고성제
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.4
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    • pp.714-725
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    • 1997
  • This paper proposes an image compression method using the wavelet transform and bit-plane coding of wavelet coefficients. The hierarchical application of wavelet transform to an image produces one low resoluation(the subband with lowest frequency) image and several high frequency subbands. In the proposed method, the low resolution image is compressed by a lossless method at 8 bits per each coefficient. However, the high frequency subbands are decomposed into 8 bit planes. With an adptive block coding method, the decomposed bit planes are effectively compressed using localized edge information in each bit plane. In addition, the propsoed method can control bit rates by selectively eliminating lessimportant subbands of low significant bit planes. Experimental results show that the proposed scheme has better performance in the peak signal to noise ratio (PSNR) and compression rate than conventional image coding methods using the wavelet transform and vector quantization.

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H.264 Encoding Technique of Multi-view Image expressed by Layered Depth Image (계층적 깊이 영상으로 표현된 다시점 영상에 대한 H.264 부호화 기술)

  • Kim, Min-Tae;Jee, Inn-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.81-90
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    • 2010
  • This paper presents H.264 coding schemes for multi-view video using the concept of layered depth image(LDI) representation and efficient compression technique for LDI. After converting those data to the proposed representation, we encode color, depth, and auxiliary data representing the hierarchical structure, respectively, Two kinds of preprocessing approaches are proposed for multiple color and depth components. In order to compress auxiliary data, we have employed a near lossless coding method. Finally, we have reconstructed the original viewpoints successfully from the decoded approach that is useful for dealing with multiple color and depth data simultaneously.

A Robust Sequential Preprocessing Scheme for Efficient Lossless Image Compression (영상의 효율적인 무손실 압축을 위한 강인한 순차적 전처리 기법)

  • Kim, Nam-Yee;You, Kang-Soo;Kwak, Hoon-Sung
    • Journal of Internet Computing and Services
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    • v.10 no.1
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    • pp.75-82
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    • 2009
  • In this paper, we propose a robust preprocessing scheme for entropy coding in gray-level image. The issue of this paper is to reduce additional information needed when bit stream is transmitted. The proposed scheme uses the preprocessing method of co-occurrence count about gray-levels in neighboring pixels. That is, gray-levels are substituted by their ranked numbers without additional information. From the results of computer simulation, it is verified that the proposed scheme could be reduced the compression bit rate by up to 44.1%, 37.5% comparing to the entropy coding and conventional preprocessing scheme respectively. So our scheme can be successfully applied to the application areas that require of losslessness and data compaction.

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Modified LZO Lossless Image Coding for mobile phone UI (휴대 단말기용 UI를 위한 수정된 LZO 비손실 압축 기법)

  • Oh Hwang-Seok
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.571-573
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    • 2005
  • 최근 모바일 폰, 휴대형 MP3 재생기, 휴대형 미디어 재생기, 휴대형 게임기 등 휴대형 디지털 가전 제품이 일반화되고 있으며 이들의 컴퓨팅 환경이 향상됨에 따라 휴대 가전의 사용 편의성 및 부가가치를 향상시키기 위해 UI가 하나의 큰 경쟁력 요소로 대두되고 있다. 그러나 현재까지는 휴대 단말기를 중심으로 사용자의 개인성을 강조하는 UI가 일부 채택되고 있으며 타 휴대 가전 분야에서는 최근에야 UI의 중요성이 부각되어 UI용 엔진들이 개발되고 있는 실정이다. 본 논문에서는 낮은 사양의 프로세서를 가지는 휴대형 가전에서 UI로 활용할 수 있는 비손실 영상 압축 시스템 개발에 대한 내용을 기술한다. 본 논문에서 제안된 기법은 현재 메모리 사용량 및 디코딩 속도에서 우수한 성능을 보이는 LZO 기법을 수정한 것으로 휴대 단말기의 프로세서에서 압축율 보다는 디코딩 속도에 최적화되었다.

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Efficient Near Lossless Intra Coding using Sub-block Partitioning (서브 블록 분할을 이용한 효율적인 근접 무손실 화면내 부호화)

  • Choi, Jung-Ah;Ho, Yo-Sung
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.07a
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    • pp.337-340
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    • 2010
  • 본 논문은 H.264/AVC를 이용한 근접 무손실 화면내 부호화에서 기존의 라인 기반 예측 방법에서 발생할 수 있는 오류 전파 문제를 해결하기 위한 방법을 제안한다. H.264/AVC의 화면내 예측 부호화는 주변 블록의 복원 화소들을 현재 부호화하려는 블록의 예측값으로 사용하여 공간적 상관성을 제거하고 부호화 효율을 향상시킨다. 기존의 라인 기반 예측 방법에서는 일반적으로 화소 간 거리가 멀어질수록 화소 간 상관성이 떨어지므로 라인 단위로 예측을 수행하여 예측의 정확도를 높였다. 하지만, 이 경우 오류 전파 문제에 취약하다는 단점이 있다. 본 논문에서는 화면내 $16{\times}16$ 수직 및 수평 예측 모드에 대해 매크로블록을 라인 단위로 예측하면서 정해진 서브 블록마다 참조 화소를 업데이트하는 방법을 제안한다. 따라서, 라인 기반 예측 방법의 예측 정확도는 유지하면서 오류 전파 문제를 예방할 수 있다. 실험을 통해, 제안하는 방법이 High 프로파일에서 H.264/AVC 표준 소프트웨어 JM 12.2에 비해 평균 약 5.8%의 비트율을 감소시킬 수 있음을 보였다.

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A Study on the Lossless Medical Image Compression using Space Filling Curve (공간 점유 곡선을 이용한 의학 영상의 무손실 압축에 관한 연구)

  • Chee, Young-Joon;Kim, Bo-Yeon;Park, Kwang-Suk
    • Proceedings of the KOSOMBE Conference
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    • v.1991 no.11
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    • pp.54-56
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    • 1991
  • Many techniques have been used for medial image compression. Its first requirement is "Errorless" or, "Completely Reversible". Under this condition, we have increased the performance of compression using Space Filling Curve. This method converts source image in direction of Hilbert's curve path in order to ate average length longer thar in traditoinal horizental normal path. After that, we have applied RLC and reduced statistical redundancy by Huffman Coding. By this method, we have obtained more efficient results of RLC.

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Evaluation of JPEG2000 Compression Algorithm for Satellite Image

  • Kim, Kwang-Yong;Kim, Kyung-Ok
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.88-88
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    • 2002
  • Satellite Image archiving system requires large storage and long transmission time. A simple and cheap way of overcoming these limitations is to increase the compression ratio. However this requires a feasibility study for accurate applications. Here, a new still image compression standard is being developed, the JPEG2000. It provides lossless and lossy compression, progressive transmission by pixel accuracy and by resolution, region-of-interest coding, user-defined tiling size, random codestream access and processing etc. In this study, we will briefly introduce the JPEG2000 compression standard which provides a new compression technique based on the wavelet technology and offers better compression ratios, and evaluate the compression ratios of JPEG2000 for satellite image by performing various image quality tests. Also, we will compare brief test result using the commercial remote sensing software.

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Quasi-Lossless Fast Motion Estimation Algorithm using Distribution of Motion Vector and Adaptive Search Pattern and Matching Criterion (움직임벡터의 분포와 적응적인 탐색 패턴 및 매칭기준을 이용한 유사 무손실 고속 움직임 예측 알고리즘)

  • Park, Seong-Mo;Ryu, Tae-Kyung;Jung, Yong-Jae;Moon, Kwang-Seok;Kim, Jong-Nam
    • Journal of Korea Multimedia Society
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    • v.13 no.7
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    • pp.991-999
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    • 2010
  • In this paper, we propose a fast motion estimation algorithm for video encoding. Conventional fast motion estimation algorithms have a serious problem of low prediction quality in some frames. However, full search based fast algorithms have low computational reduction ratio. In the paper, we propose an algorithm that significantly reduces unnecessary computations, while keeping prediction quality almost similar to that of the full search. The proposed algorithm uses distribution probability of motion vectors and adaptive search patterns and block matching criteria. By taking different search patterns and error criteria of block matching according to distribution probability of motion vectors, we can reduces only unnecessary computations efficiently. Our algorithm takes only 20~30% in computational amount and has decreased prediction quality about 0~0.02dB compared with the fast full search of the H.264 reference software. Our algorithm will be useful to real-time video coding applications using MPEG-2 or MPEG-4 AVC standards.

Compression Method for Digital Hologram using Motion Prediction Method in Frequency-domain (주파수 영역에서 움직임 예측을 이용한 디지털 홀로그램 압축 기법)

  • Choi, Hyun-Jun;Bae, Yun-Jin;Seo, Young-Ho;Kang, Chang-Soo;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.9
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    • pp.2091-2098
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    • 2010
  • This paper proposes a hologram data compression scheme that uses the existing image/video compression techniques, in which the existing techniques are modified appropriately to fit to the characteristics of hologram. In this paper we use CGH as the hologram data. The proposed scheme uses the generation characteristics of a CGH to consist of a pre-processing, spatial segmentation of a CGH, frequency-transformation with 2D-DCT (2-dimensional discrete cosine transform), and motion estimation and residual image generation in the frequency-domain. It uses H.264/AVC, the lossless compressor BinHex, and a linear quantizer that we have made. From the experiments the proposed scheme showed the image quality of about 25.4 dB at the compression ratio of 10:1 and about 16.5dB at 90:1 compression ratio.