• Title/Summary/Keyword: Image coding

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CONTOUR CODING BASED ON THE CHARACTERISTICS OF REGIONS IN SEGMENTED IMAGE (분할된 영역의 특성을 이용한 윤곽선 부호화)

  • 이준상;어진우
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.915-918
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    • 1998
  • Region based coding consistsof image segmentation contour and texture coding. Contour coding techniques can be classified into contour or shape-oriented approaches. In this paper, geodesic skeleton based on shape-oriented approach is used for contour coding. Efficient application of geodesic skeleton for contour coding based on the characteristics of regions in segmented image will be discussed.

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Progressive Image Coding based on SPIHT Using Object Region Transmission Method by Priority (객체 영역 우선 전송 기법을 이용한 SPIHT기반 점진적 영상 부호화)

  • 최은정;안주원;강경원;권기룡;문광석
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.53-56
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    • 2000
  • In progressive image coding, if object region that have main contents in image are transmitted prior to the remained region, this method will be very useful. In this paper, the progressive image coding based on SPIHT using object region transmission method by priority is proposed. First, an original image is transformed by wavelet. Median filtering is used about wavelet transformed coefficient region for extracting object region. This extracted object region encoded by SPIHT. Then encoded object region are transmitted in advance of the remained region. This method is good to a conventional progressive image coding about entire original image. Experimental results show that the proposed method can be very effectively used for image coding applications such as internet retrieval and database searching system.

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Interframe Coding for 3-D Medical Images Using an Adaptive Mode Selection Technique in Wavelet Transform Domain (웨이블릿 변환 영역에서의 적응적 모드 선택 기법을 이용한 3차원 의료 영상을 위한 interframe 부호화)

  • 조현덕;나종범
    • Journal of Biomedical Engineering Research
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    • v.20 no.3
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    • pp.265-274
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    • 1999
  • In this paper, we propose a novel interframe coding algorithm especially appropriate for 3-D medical images. The proposed algorithm is based on a video coding algorithm using motion estimation/ compensation and transform coding. In the algorithm, warping is adopted lor motion compensation (MC). Then, by using adaptive mode selection, a motion compensated residual image and original image are mixed up in the wavelet transform domain for improvement in coding performance. The mixed image is then compressed by the zerotree coding method. We prove that the adaptive mode selection technique in the wavelet transform domain is very useful lor 3-D medical image coding. Simulation results show that the proposed scheme provides good performance regardless of inter-slice distance and is prospective for 3-D medical image compression.

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A study on a ROI image coding application to still image using PSBS method (정지 영상에서 PSBS법을 사용한 ROI 영상 코딩의 응용에 관한 연구)

  • 김동훈;고광철;정제명
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2319-2322
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    • 2003
  • We propose ROI(region of interest) image coding application to still image using PSBS(partial significant bitplane shift)method combined with human face region detecting system. PSBS is an encoding algorithm for ROI image coding in JPEG2000, and takes advantages of both generic scaling based method and maximum shift method defined in JPEG2000. The Powerful advantages of PSBS are able to adjusting image quality in ROI and background flexibly, and support arbitrarily shaped ROI coding without coding the shape. In this letter, we show how to compress an image for human face region using PSBS method combined with human face region detecting system, and propose its application.

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Generation and Protection of Efficient Watermark Signals and Image Quality Preservation in Transmission Channel Using Turbo Coding (효과적인 워터마크 신호의 생성과 보호 및 터보코딩을 이용한 전송채널상에서의 화질 보존)

  • Cho, Dong-Uk;Bae, Young-Lae
    • The KIPS Transactions:PartB
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    • v.9B no.1
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    • pp.91-98
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    • 2002
  • In this paper, an implementation method of the efficient image transmission stage using watermarking and channel ceding is proposed. Usually, image communication system consists of both a transmitter part and a receiver part. The transmitter part takes charge of copyright protection of the generated image data, and image coding and compression that can deal with channel noises when transmitting. In the transmitter part, we propose a channel coding method which protects both the watermark signal and the original signal for protecting the copyright of image data and solving channel noises when transmitting. Firstly, copyright protection of image data is conducted. For this, image structure analysis is performed, and both the improvement of image quality and the generation of the watermark signal are made. Then, the histogram is constructed and the watermark signals are selected from this. At this stage, by embedding of the coefficients of curve fittness into the lower 4 bits of the image data pixels, image quality degradation due to the embedding of watermark signals are prevented. Finally, turbo coding, which has the most efficient error correction capability in error correction codes, has been conducted to protect signals of watermark and preserved original image quality against noises on the transmission channel. Particularly, a new interleaving method named "semi random inter]easer" has been proposed.

Segmention-Based Residual Image Coding Using Classified Vectior Quantizer (분할기반 잉여신호의 CVQ 영상 부호화)

  • 김남철;김종우;홍원학;석민수
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.1
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    • pp.63-71
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    • 1993
  • An efficient RVQ image coding method is proposed using the segmentation-based coding and CVQ techniques. In the proposed method the residual image, the difference between an original image and the synthesized one obtained from the segmentation-based coding, is first dividel into $\times$4 subblocks. They are then individually coded in the spatial domain using a simple CVQ. Experimental results show that the proposed method yields better quality of the reconstructed images in both PSNR and subjective test over the basic VQ and SMVQ.

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Wavelet Image Coding with Optimized Zerotree Quantization (최적화된 제로트리 양자화를 이용한 웨이브렛 패킷 이미지 코딩)

  • 이양원
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.161-164
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    • 2000
  • Recently efficient image coding using zerotree have been proposed. In these methods, the locations of nonzero wavelet coefficient are encoded with a tree structure, called zerotree, which can exploit the self-similarity of the wavelet pyramid decomposition across different scales. These are very especially in low bit rate image coding. In this paper, two zerotree image coding algorithm, EZW and SPHIT are briefly introduced, and a new zerotree searching scheme is proposed to emphasize the significance of a wavelet coefficient by its orientation as well as its scale.

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A Study on fast LIFS Image Coding Using Adaptive Orthogonal Transformation (적응 직교변환을 이용한 LIFS 부호화의 고속화에 관한 연구)

  • 유현배;박경남;박지환
    • Journal of Korea Multimedia Society
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    • v.7 no.5
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    • pp.658-667
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    • 2004
  • For digital image compression, various fractal image coding schemes using the self-similarity of image have been studied extensively. This paper discusses the problem that occurs during the calculating process of adaptive orthogonal transformation and provides improvements of LIFS coding scheme using the transformation. This proposed scheme has a better performance than JPEG for a wide range of compression ratio. This research also proposes an image composition method consisting of all domains of the transformation. The results show that the arithmetic operation processes of the encoder and the decoder become much smaller even without the distortion of the coding performance.

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Advanced Image Coding based on spacial domain prediction (공간 영역 예측에 의한 정지 영상 부호화)

  • Cho, Sang-Gyu;Moon, Joon;Hwang, Jae-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.425-428
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    • 2005
  • This paper is made up Advanced Image Coding(AIC) that combines algorithms from next generation image coding standard, H.264/MPEG-4 Part 10 advanced video coding(AVC) and still image compression standard, JPEG(Joint Photographic Experts Group). AIC combines intra frame block prediction from H.264 with a JPEG style discrete cosine transform and quantization, followed by Context-based Adaptive Binary Arithmetic Coding(CABAC) as used in H.264. In this paper, we analyzes the efficiency of the AIC algorithm and JPEG and JPEG-2000, and it presents of result.

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A Study on the Statistical characteristics of Hagul Graphic Image Date (한글 Graphic Image Date의 통계적 특성에 관한 연구)

  • 김재석;김재균
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.17 no.2
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    • pp.15-22
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    • 1980
  • For efficient coding of graphic image data, the statistical characteristics for both Korean lettered images and English lettered images are measurpd and co mpared. Also, the measured run length distribution is compared with the run length distribution hased on Markov model. It is shown that the measured white run length distribution is more Bike a negative - power distribution than an exponential distribution . This fact is stronger in the Korean lettered images than is the English lettered images, The performances of four typical run length codes are compared for the same set of graphic data files,, and it is shown that the codes perform better in the Korean ]entered images :hart In Eng]isle lettered images.

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