• Title/Summary/Keyword: 3D Compression

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3-D Subband Filter Banks for Lossless Compression of Volumetric Images (무 손실 볼륨 영상 데이터 압축을 위한 3차원 대역분할 필터 군)

  • 홍승표;정호열;최태영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4B
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    • pp.715-724
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    • 2000
  • This Paper presents 3-D subband filter banks which are effective for progressive and lossless compression of volumetric images. For such a purpose, ORT(Overlapping Rounding Transform), applied so far to 1-D losslesssubband filter banks, is now used to implement two types of 3-D lossless subband filter banks: separable andnon-separable types. Separable fiter banks are implemented form applying 1-D lossless filter banks consecutively.Non-separable later banks are developed by expanding the 1-D ORT into 3-D one. In particular, the proposed ORT based 3-D non-separable filter banks generalizes the 3-D HINT(Hierarchical INTerpolation) algorithm.Through the experiment comparisons on various volumetric medical images, we prove that the proposedseparablefnon-separable filter banks perform better, in terms of compression ratio (first order entropy), than theother lossless compression techniques such as block based transform and conventional 3-D HINT.

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Point Cloud Video Codec using 3D DCT based Motion Estimation and Motion Compensation (3D DCT를 활용한 포인트 클라우드의 움직임 예측 및 보상 기법)

  • Lee, Minseok;Kim, Boyeun;Yoon, Sangeun;Hwang, Yonghae;Kim, Junsik;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.26 no.6
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    • pp.680-691
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    • 2021
  • Due to the recent developments of attaining 3D contents by using devices such as 3D scanners, the diversity of the contents being used in AR(Augmented Reality)/VR(Virutal Reality) fields is significantly increasing. There are several ways to represent 3D data, and using point clouds is one of them. A point cloud is a cluster of points, having the advantage of being able to attain actual 3D data with high precision. However, in order to express 3D contents, much more data is required compared to that of 2D images. The size of data needed to represent dynamic 3D point cloud objects that consists of multiple frames is especially big, and that is why an efficient compression technology for this kind of data must be developed. In this paper, a motion estimation and compensation method for dynamic point cloud objects using 3D DCT is proposed. This will lead to switching the 3D video frames into I frames and P frames, which ensures higher compression ratio. Then, we confirm the compression efficiency of the proposed technology by comparing it with the anchor technology, an Intra-frame based compression method, and 2D-DCT based V-PCC.

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.

Video Subband Coding using Quad-Tree Algorithm (쿼드트리 알고리즘을 이용한 비디오 서브밴드 코딩)

  • An, Chong-Koo;Chu, Hyung-Suk
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.3
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    • pp.120-126
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    • 2005
  • This paper presents the 3D wavelet based video compression system using quad-tree algorithm. The 3D wavelet 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 transform. The proposed system allocates the higher bit rate to the low frequency image of the 3D wavelet sequences and improves the 0.64dB 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 transform, the proposed system progressively transmits the input sequence according to the resolution and rate scalability.

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3-dimensional Mesh Model Coding Using Predictive Residual Vector Quantization (예측 잉여신호 벡터 양자화를 이용한 3차원 메시 모델 부호화)

  • 최진수;이명호;안치득
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.136-145
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    • 1997
  • As a 3D mesh model consists of a lot of vertices and polygons and each vertex position is represented by three 32 bit floating-point numbers in a 3D coordinate, the amount of data needed for representing the model is very excessive. Thus, in order to store and/or transmit the 3D model efficiently, a 3D model compression is necessarily required. In this paper, a 3D model compression method using PRVQ (predictive residual vector quantization) is proposed. Its underlying idea is based on the characteristics such as high correlation between the neighboring vertex positions and the vectorial property inherent to a vertex position. Experimental results show that the proposed method obtains higher compression ratio than that of the existing methods and has the advantage of being capable of transmitting the vertex position data progressively.

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Effect of Compression Test Conditions on Texture Profile Analysis of Surimi-based Products (압착실험조건이 어육연제품의 조직감 면모분석에 미치는 영향)

  • Lee, Young-Seung;Yoo, Byoung-Seung
    • Korean Journal of Food Science and Technology
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    • v.32 no.1
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    • pp.225-230
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    • 2000
  • The texture profile analysis (TPA) parameters of commercial surimi-based products were evaluated at various compression test conditions. Cylindrical specimens of diameter to length (D/L) ratio of 1.0, 1.5, B.() cm/min were compressed to 50, 65 and 80% using crosshead speeds of 1.7, 3.3, 6.7 cm/min. TPA parameters of three surimi-based products (hardness-1, hardness-2, cohesiveness, springiness, chewiness and gumminess) were analyzed statistically. The TPA parameters were modified by dividing with cross section area and strain. The TPA parameters were affected by D/L and compression ratio except for crosshead speed for all three surimi-based products. The ecommended test conditions for TPA of surimi-based products seem to be D/L of 1.5, compression ratio of 80%, and crosshead speed of 1.7 to 6.7 cm/min.

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An Efficient Compression Method of Integral Images Using Adaptive Block Modes (적응적인 블록 모드를 이용한 집적 영상의 효율적인 압축 방법)

  • Jeon, Ju-Il;Kang, Hyun-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.6
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    • pp.1-9
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    • 2010
  • In this paper, we propose an efficient compression method of the integral images. The integral imaging is a well-known technique to represent and record three-dimensional images. The proposed method is based on three dimensional discrete cosine transform (3D-DCT). The 3D-DCT techniques for the integral images have been reported as an efficient coding method for the integral images which reduces the redundancies between adjacent elemental images. The proposed method is a compression method efficient to integral images using adaptive block mode(ABM), based on the 3D-DCT technique. In the ABM, 3D-DCT blocks adaptive to the characteristics of integral images are constructed, which produces variable block size 3D-DCT blocks, and then 3D-DCTs for the 3D blocks are performed. Experimental results show that the proposed method gives significant improvement in coding efficiency. Especially, at the high bit-rates, the proposed method is more excellent since the overhead incurred by the proposed method take less part of the total bits.

MPEG AFX: 애니메이션 압축 기술

  • An, Jeong-Hwan
    • Information and Communications Magazine
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    • v.24 no.4
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    • pp.67-75
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    • 2007
  • 본 고에서는 MPEG 3DGC(3D Graphics Compression)서브그룹에서 진행중인ISO/IEC 14496-16 AFX(Animation Framework extension)중 Animation과 관련된 동향에 대해 기술한다. 가상 공간에서의 bone-based, 모델과 같은 캐릭터 애니메이션의 표현과 압축, 소스 모델과 타겟 모델로 부터 일련의 연속적인 중간 모델들을 만들어서 부드러운 애니메이션이 가능하도록 하는 모핑 애니메이션, 키 프레임 애니메이션의 압축에 대해 살펴보고, 현재 진행중인 Frame-based Animation Compression 대해 살펴본다. 마지막으로, 이러한 압축 툴을 사용하여 압축한 3D 비트 스트림을 다중화(Multiplexing)하여 저장하는 m3d 데이터 포맷에 대해 살펴본다.

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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Improving immersive video compression efficiency by reinforcement learning (강화학습 기반 몰입형 영상 압축 성능 향상 기법)

  • Kim, Dongsin;Oh, Byung Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.33-36
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    • 2021
  • In this paper, we propose a new method for improving compression efficiency of immersive video using reinforcement learning. Immersive video means a video that a user can directly experience, such as 3DOF+ videos and Point Cloud videos. It has a vast amount of information due to their characteristics. Therefore, lots of compression methods for immersive video are being studied, and generally, a method, which projects an 3D image into 2D image, is used. However, in this process, a region where information does not exist is created, and it can decrease the compression efficiency. To solve this problem, we propose the reinforcement learning-based filling method with considering the characteristics of images. Experimental results show that the performance is better than the conventional padding method.

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