• Title/Summary/Keyword: 3D image compression

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Preprocessing Method for Efficient Compression of Patch-based Image (패치 영상의 효율적 압축을 위한 전처리 방법)

  • Lee, Sin-Wook;Lee, Sun-Young;Chang, Eun-Youn;Hur, Nam-Ho;Jang, Euee-S.
    • Journal of Broadcast Engineering
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    • v.13 no.1
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    • pp.109-118
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    • 2008
  • In mapping a texture image into a 3D mesh model for photo-realistic graphic applications, the compression of texture image is as important as geometry of 3D mesh. Typically, the size of the (compressed) texture image of 3D model is comparable to that of the (compressed) 3D mesh geometry. Most 3D model compression techniques are to compress the 3D mesh geometry, rather than to compress the texture image. Well-known image compression standards (i.e., JPEG) have been extensively used for texture image compression. However, such techniques are not so efficient when it comes to compress an image with texture patches, since the patches are little correlated. In this paper, we proposed a preprocessing method to substantially improve the compression efficiency of texture compression. From the experimental results, the proposed method was shown to be efficient in compression with a bit-saving from 23% to 45%.

Compression of 3D color integral images using 2D referencing technique (2차원 참조 기법을 이용한 3D 컬러 집적 영상의 압축)

  • Kim, Jong-Ho;Yoo, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.12
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    • pp.2693-2700
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    • 2009
  • This paper proposes an effective compression method to utilize the 3D integral image with large amount of data obtained by a lens array in various applications. The conventional compression methods for still images exhibit low performance in terms of coding efficiency and visual quality, since they cannot remove the correlation between elemental images. In the moving picture compression methods, 1D scanning techniques that produce a sequence of elemental images are not enough to remove the directional correlation between elemental images. The proposed method effectively sequences the elemental images from an integral image by the 2D referencing technique and compresses them using the multi-frame referencing of H.264/AVC. The proposed 2D referencing technique selects the optimal reference image according to vertical, horizontal, and diagonal correlation between elemental images. Experimental results show that compression with the sequence of elemental images presents better coding efficiency than that of still image compression. Moreover, the proposed 2D referencing technique is superior to the 1D scanning methods in terms of the objective performance and visual quality.

A Study on the Wavelet Based Algorithm for Lossless and Lossy Image Compression (무손실.손실 영상 압축을 위한 웨이브릿 기반 알고리즘에 관한 연구)

  • An, Chong-Koo;Chu, Hyung-Suk
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.3
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    • pp.124-130
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    • 2006
  • A wavelet-based image compression system allowing both lossless and lossy image compression is proposed in this paper. The proposed algorithm consists of the two stages. The first stage uses the wavelet packet transform and the quad-tree coding scheme for the lossy compression. In the second stage, the residue image taken between the original image and the lossy reconstruction image is coded for the lossless image compression by using the integer wavelet transform and the context based predictive technique with feedback error. The proposed wavelet-based algorithm, allowing an optional lossless reconstruction of a given image, transmits progressively image materials and chooses an appropriate wavelet filter in each stage. The lossy compression result of the proposed algorithm improves up to the maximum 1 dB PSNR performance of the high frequency image, compared to that of JPEG-2000 algorithm and that of S+P algorithm. In addition, the lossless compression result of the proposed algorithm improves up to the maximum 0.39 compression rates of the high frequency image, compared to that of the existing algorithm.

Compression of Elemental Images Using Block Division in 3D Integral Imaging (3D 집적 영상에서 영역 분할을 이용한 요소 영상의 압축 기법)

  • Kang, Ho-Hyun;Shin, Dong-Hak;Kim, Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3C
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    • pp.297-303
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    • 2009
  • Integral imaging is a well-known 3D image recording and display technique. The huge size of integral imaging data requires a compression scheme to store and transmit 3D scenes. In the conventional compression scheme, the data amount of elemental images depends on the various recording condition such as the positional location of a 3D object, the illumination and specification of the lenslet array even if an identical pickup system is used. In this paper, to reduce the dependence of the image characteristics of elemental images on the pickup conditions, a compression scheme using block division on the elemental image of integral imaging is proposed. The proposed scheme provides an improved compression ratio by considering the local similarity of elemental images picked up from three-dimensional objects according to a positional location. To test the proposed scheme, various elemental images are picked up and a compression process is then carried out u sing a standard MPEG-4. Based on compression ratio results, the proposed compression scheme is improved by approximately 9% compared with the conventional compression method.

Development of Stereo PACS Viewer for the 3-D Endoscopic Image

  • Kim, Jeonghoon;Lee, Junyoung;Lee, Sungjae;Lee, Myoungho
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.181.2-181
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    • 2001
  • Stereo PACS (Picture Archiving and Communication System) is not available yet because of some limitations of medical stereo image software and viewing devices. As a stereo PACS viewer, we designed two functions. One is selecting and viewing a multiplexed stereo image directly, and the other is selecting a stereo pair image (left and right sides both) and merging the stereo pair image into a multiplexed image in software. For the medical image compression of 3-D stereo endoscopic images, we used JPEG and Wavelet compression and to determine an acceptable compression rate using PSNR (Peak Signal-to-Noise Ratio). As a result, we got the conclusion that medically acceptable image compression rate should have the PSNR of above about 40[dB] (JPEG (5:1), Wavelet (10:1)).

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Stereo Image Insertion using Alteration of DCT Coefficients of Color Channels (칼라채널의 DCT 계수 변경을 이용한 스테레오 영상 삽입)

  • 이호근;천성렬;하영호
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.175-178
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    • 2003
  • This paper proposes a stereo image insertion technique on DCT coefficients using the embedded method developed in the digital watermarking in due consideration of compatibility with conventional 2D system such JPEG, and MPEG. In conventional transmission method users with conventional digital TV cannot watch the transmitted 3D image sequence as 2D image, because of affectivity of conventional 3D image compression. To give an answer, in this paper, DCT coefficients are changed according to its disparity on YCbCr channels. Our method can insert stereo images into a conventional image compression method based on DCT.

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Compression of time-varying volume data using Daubechies D4 filter (Daubechies D4 필터를 사용한 시간가변(time-varying) 볼륨 데이터의 압축)

  • Hur, Young-Ju;Lee, Joong-Youn;Koo, Gee-Bum
    • 한국HCI학회:학술대회논문집
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    • 2007.02a
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    • pp.982-987
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    • 2007
  • The necessity of data compression scheme for volume data has been increased because of the increase of data capacity and the amount of network uses. Now we have various kinds of compression schemes, and we can choose one of them depending on the data types, application fields, the preferences, etc. However, the capacity of data which is produced by application scientists has been excessively increased, and the format of most scientific data is 3D volume. For 2D image or 3D moving pictures, many kinds of standards are established and widely used, but for 3D volume data, specially time-varying volume data, it is very difficult to find any applicable compression schemes. In this paper, we present a compression scheme for encoding time-varying volume data. This scheme is aimed to encoding time-varying volume data for visualization. This scheme uses MPEG's I- and P-frame concept for raising compression ratio. Also, it transforms volume data using Daubechies D4 filter before encoding, so that the image quality is better than other wavelet-based compression schemes. This encoding scheme encodes time-varying volume data composed of single precision floating-point data. In addition, this scheme provides the random reconstruction accessibility for an unit, and can be used for compressing large time-varying volume data using correlation between frames while preserving image qualities.

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Residual Image Compression based on Wavelet Transform (웨이브릿 변환을 이용한 스테레오 영상 압축)

  • 정한조;유지상;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4B
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    • pp.763-770
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    • 2000
  • In this paper, a new stereo image compression algorithm is suggested in which the residual image extracted from the stereo image by the disparity-compensated prediction method is compressed using the wavelet transform considering the inter & intra correlation between subbands. The compression performance of the proposed method is significantly improved by comparing with the conventional algorithm such as EPIC, EPWIC & JPEG through the computer simulation and the PSNR is also increased about 3.5dB compared with the EPIC. Finally, the stereo image having a good 3D effect can be reconstructed from the compressed image data by the proposed method.

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Moving Image Compression with Splitting Sub-blocks for Frame Difference Based on 3D-DCT (3D-DCT 기반 프레임 차분의 부블록 분할 동영상 압축)

  • Choi, Jae-Yoon;Park, Dong-Chun;Kim, Tae-Hyo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.37 no.1
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    • pp.55-63
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    • 2000
  • This paper investigated the sub-region compression effect of the three dimensional DCT(3D-DCT) using the difference component(DC) of inter-frame in images. The proposed algorithm are the method that obtain compression effect to divide the information into subband after 3D-DCT, the data appear the type of cubic block(8${\times}$8${\times}$8) in eight difference components per unit. In the frequence domain that transform the eight differential component frames into eight DCT frames with components of both spatial and temporal frequencies of inter-frame, the image data are divided into frame component(8${\times}$8 block) of time-axis direction into 4${\times}$4 sub block in order to effectively obtain compression data because image components are concentrate in corner region with low-frequency of cubic block. Here, using the weight of sub block, we progressed compression ratio as consider to adaptive sub-region of low frequency part. In simulation, we estimated compression ratio, reconstructed image resolution(PSNR) with the simpler image and the complex image contained the higher frequency component. In the result, we could obtain the high compression effect of 30.36dB(average value in the complex-image) and 34.75dB(average value in the simple-image) in compression range of 0.04~0.05bpp.

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Three-Dimensional Subband Coding of Video using Wavelet Packet Algorithm (웨이브릿 패킷 알고리즘을 이용한 3차원 비디오 서브밴드 코딩)

  • Chu, Hyung Suk;An, Chong Koo
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.11
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    • pp.673-679
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    • 2005
  • This Paper presents the 3D wavelet transformation based video compression system, which possesses the capability of progressive transmission by increasing resolution and increasing rate for multimedia applications. The 3D wavelet packet based video compression system removes the temporal correlation of the input sequences using the motion compensation filter and decomposes the spatio-temporal subband using the spatial wavelet packet transformation. The proposed system allocates the higher bit rate to the low frequency image of the 3D wavelet sequences and improves the 0.49dB PSNR performance of the reconstructed image in comparison with that of H.263. In addition to the limitation on the propagation of the motion compensation error by the 3D wavelet transformation, the proposed system progressively transmits the input sequence according to the resolution and rate scalability.