ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
24.78
Displaying 1-27 of 27 articles from this issue
  • Article type: Cover
    Pages Cover1-
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • Article type: Index
    Pages Toc1-
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • Tatsuroh HAYASHI, Akihiko SUGIURA
    Article type: Article
    Session ID: BCS2000-54
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    We suggest the encoding method on the supposition that the moving picture has focusing area and blooming area. A focusing area should be clearly transported instead of blooming area in that a blooming area isn't generally essential. We make the experiment with a moving picture taken by Video Camera, and a satisfactory result is obtained.
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  • RUI Tezuka, Akihiko SUGIURA
    Article type: Article
    Session ID: BCS2000-55
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Transmission system for compressed information has been studied for the purpose of efficient transmission for multimedia information. It is known that compressed information are including "important bits" and "unimportant bits". Our study analyzed influence that weighted transmission by using Code Division Multiple Access. And we make a comparative study by using computer simulation with two method, one is changing signal amplitude, the other using more channels
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  • Daisuke HORIGOME, Hiromu KODA, Shojiro SAKATA
    Article type: Article
    Session ID: BCS2000-56
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    This paper proposes a new coding scheme for a two-component model of images using wavelet transform. In this scheme, assumimg that image signals follow the two-component model which consists of a nonstationary component(low frequency image)and a stationary random component(high frequency image), we divide an original image into low and high frequency images by means of biorthogonal filter bank. Then we use DPCM coding with one predictor coefficient for the former and variable density sampling with exploitation of self-similarity for the later, so that we realize a coding/decoding system that has no multiplication. Finally we simulate this scheme and show the effectiveness.
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  • Taichi Umeda, Naoyuki Aikawa
    Article type: Article
    Session ID: BCS2000-57
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    In image processing, two-dimension data interpolation is needed for enlargement of images. Nearest-neighbor, linear, cubic and Quadratic interpolation methods are conventionally proposed for image reconstruction. These interpolation methods are represented by kernel function. and the quality of interpolation image and complexity of computation depend on the kernels. In this paper, we propose a extended quadratic kernel to use fuzzy rule. The proposed kernel computes arbitrary value at center points in original image. Finally, the usefulness of the proposed method is verified through the example.
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  • Tomokazu Irie, Tetsuo Tsujioka, Hisayoshi Sugiyama, Masashi Murata
    Article type: Article
    Session ID: BCS2000-58
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Lossless data compression is often used for transmitting and storing data efficiently. We propose Logical Triangle Method and new lossless coding method which is one of its application. Furthermore, as its application, we appraise binary image compression method and locate attributions of our proposal method by comparing our coding method with conventional one.
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  • Toshihisa TANAKA, Yukihiko YAMASHITA
    Article type: Article
    Session ID: BCS2000-59
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    This paper presents a new framework for a biorthogonal lapped transform that consists of long and short basis functions called the VLLBT. It is shown that when the biorthogonal long basis functions of the VLLBT are given, the optimal short basis functions in the energy compaction sense are derived by solving an eigenvalue problem without iterative searching techniques. We also provide design and image coding examples of the VLLBT. The resulting VLLBT attains high coding gain comparing to other lapped transforms. Moreover, experimental results show that the proposed VLLBT is superior to other conventional transforms in terms of PSNR at high compression ratio. Furthermore, it significantly reduces the annoying blocking artifacts. These results may imply that the proposed VLLBT with the optimal Short functions is a promising technique in the field of image coding.
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  • Hiroyuki SAWAKI, Ken-ichiro MURAMOTO, Mamoru KUBO, Toru SHIINA
    Article type: Article
    Session ID: BCS2000-60
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Relations between shape and movement of snow flakes have been analyzed. Simultaneous images of both movement and shape are needed to perform analysis. In this study, a system using multiple cameras has been developed, including on camera pointing straight up. The moment and shape feature of snowflakes were calculated from the obtained images. Using this system, movement pattern and shape can be analyzed in detail.
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  • Hiroshi KOSHINAKA, Mamoru KUBO, Ken-ichiro MURAMOTO
    Article type: Article
    Session ID: BCS2000-61
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    The purpose of this study is texture analysis of NOAA satellite image from the Antarctic and classification between cloud and ground surface. Wavelet transform is used in the texture analysis because it yields local information. Image features between cloud and ground surface are analyzed from the multi-dimensional feature vector resulting from the transform.
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  • Ryotaro KOMURA, Mamoru KUBO, Ken-ichiro MURAMOTO
    Article type: Article
    Session ID: BCS2000-62
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Remote sensing using a multispectrum sensor mounted on the satellite and airplane is useful to observe a vegetation in the forest areas. In forest area, there are many kind of vegetation, and it has various and complex reflection in spatial and spectrum domain. Therefore it is difficult to analyze a spatial distribution of spectrum by satellite and airplane sensor. In this study, we measured spectrum data and took a photograph using video camera synchronously. Information of spatial distribution of spectrum was analyzed by image processing.
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  • Yukiharu Shiokawa, Shigeo Wada
    Article type: Article
    Session ID: BCS2000-63
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    In this paper, a method for natural color image expression using merge technique of similar picture elements is proposed. When the color and brightness gradient of picture elements are close to each other, the similar picture elements are merged in a region, and the region is painted with the average color of the picture elements. By selecting adaptive threshold value, expression color can progressively be controlled. The amount of expression color is effectively reduced with remaining the original image impression. Further, a decision method of optimum threshold value is given. It is examined that when the threshold value is high, a realistic image can be obtained.
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  • Naoki IMAI, Shigeo WADA
    Article type: Article
    Session ID: BCS2000-64
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Segmentation of the image region is an important processing in image analysis. It is essential to divide the region into components of image in an image coding application. We introduce a structural segmentation method for scene image using four-structural split and merging technique of neighboring regions together with the genetic algorithm. First, pseudo KL transform is applied for the original image to reduce brightness correlation between RGB planes. Next, the split-merge technique is practiced to the planes. Finally, When small unsegmented region exist particularly around the boundary, the genetic algorithm is utilized to optimize the segmentation. The effectiveness of the method is examined in the simulations.
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  • Kazunari MIZOWAKI, Junichi MURAKAMI, Yoshitaka MORIKAWA
    Article type: Article
    Session ID: BCS2000-65
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    In reconstructing cross-sectional images of 2D(2-dimensional)X-ray CT, a data acquisition is a line integral operation along a projection's direction. This operation is equivalent to the Radon transform(RT), hence the reconstructing cross-sectional images is equivalent to this inverse transform. Generaly, the convolution backprojection(CB)algorithm has been used for realiging 2D inverse Radon transform(IRT). The authors proposed the method to shorten reconstructing time by using TFB for the backprojection-part. In this paper, we expand the TFB method to 3D-IRT, and show that this technique is very effective for time saving. The application to 3D-IRT realized that the reconstructing speed of TFB method was approximately about 760 times faster than that of IRT method.
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  • Yasufumi KATAOKA, Nobumoto YAMANE, Yoshitaka MORIKAWA
    Article type: Article
    Session ID: BCS2000-66
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    In this paper, an adaptive entropy coding method based on the Gaussian mixture distribution model, proposed as a performance improving method for the DCT coding for images, is adopted to the discrete wavelet transform(DWT)coding. To modify the mixture model adequate for the DWT coefficients, construction of the coefficient vector is studied. Unstationary mixture model is employed to adapt the model to fine spatial regularization of high-frequency coefficients and, then, the regularization method is introduced to suppress the irregular modeling caused by the unstationary modeling. Simulation result shows that proposed method improves coding performance compared with conventional SPIHT method.
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  • Kennichi OSUMI, Yoshitaka MORIKAWA, Nobumoto YAMANE
    Article type: Article
    Session ID: BCS2000-67
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    This paper discusses effectiveness of variable shape partitioning method in fractal image coding. The quad-tree partitioning method was so far used as image partitioning of fractal image coding. In this method, we divide detail region into sub-blocks to improve quality of reconstructed image. However, since the number of range blocks increases, the rate-distortion characteristics are not necessarily improved. In the previous paper, the authors first introduced a partitioning method in which we control blocks such that their sides stand parallel to local directions and the number of pixels in block remains constant, and show experimentally that rate-distortion characteristics of our method outperforms and the quality of reconstruction. In this paper, we make a comparison of distribution of blocks in respect of active directions and the number of range blocks to justify that our method outperforms.
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  • Masato Kazui, Miki Haseyama, Hideo Kitajima
    Article type: Article
    Session ID: BCS2000-68
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    This paper proposes a new method to estimate curved lane markings for vheicle steering. The proposed method is decomposed into two steps. First, it estimates the linear parameters of curved lane markings, then it fits lines that intersect at one point to the edges in a Hough space using cross ratio. Second, an angle histogram based on the Hough transform is used to estimate the curvature of the lane markings. We study the stability of the proposed method from experimental results using images of a real road scene.
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  • Masayoshi Tsuchida, Miki Haseyama, Hideo Kitajima
    Article type: Article
    Session ID: BCS2000-69
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Synthetic aperture radar(SAR)images are affected by speckle noise, and numerous methods have been proposed for reducting the noise. Speckle is assumed to have the characteristics of a random multiplicative noise whose intensity obeys a negative exponential distribution, but these characteristics are not true on some scenes, such as urban areas, in the image. In this paper, we propose a Kalman filter adapted to the regions which are classified according to texture in the SAR images.
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  • Tomoyoshi Natsui, Miki Haseyama, Hideo Kitajima
    Article type: Article
    Session ID: BCS2000-70
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    A method of generating the representative vectors for encoding still images efficiently using a vector quantizer, is proposed in this paper. A conventional codebook is generated by clustering many training images. But, many representative vectors are registered in the codebook for obtaining the high quality reconstructed image, thus the index of the representative vector becomes long. To solve this problem, the conventional methods encode the index efficiently. The proposed method is another approach for reducing the number of representative vectors by using two codebooks adapted to edges and flat regions of the image respectively. It uses a specific codebook which is generated by filtering the representative vectors from the source image, and a universal codebook which is generated by using random numbers. It is shown that the coding efficiency of the proposed method is comparable to the conventional methods without encoding the index efficiently.
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  • Atsushi Matsumura, Miki Haseyama, Hideo Kitajima
    Article type: Article
    Session ID: BCS2000-71
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    In this paper, we propose an estimation method of the parameters for accurate image restoration using a Kalman filter. If it is possible to estimate the parameters(i.e. an image model and a noise variance)with high accuracy, then an image can be restored accurately using a Kalman filter. In traditional parameter estimation methods, parameters are estimated from the whole image, and a change of the local statistics in an image is not considered. Therefore, detail and whole regions of the image are not restored accurately with the previous methods. The proposed method estimates parameters adapted to every part of image according to a change in the local statistics, and can thus restore an image more accurately. We have verified the validity of proposed method by several experiments.
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  • Kenji Suzuki, Miki Haseyama, Hideo Kitajima
    Article type: Article
    Session ID: BCS2000-72
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    The authors have proposed a method which determines the correspondence of feature points in two different images by using a genetic algorithm and simulated annealing. Our previous method may get caught in a local minimum. The proposed method enables serching for suitable correspondence by an improvement of the fitness function.
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  • Mitsuteru SAKAMOTO, Takeshi DOIHARA, Yukio KOSUGI
    Article type: Article
    Session ID: BCS2000-73
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    In order to retrieve initial data for 3D city models, mapping processes of ground objects are needed by professional operators using stereo aerial images. In this paper, we purpose a method for improving the precision of stereo matching that ultimately aims at extracting the shape and position of ground object with aerial images. In the first part, we will describe an automatic method for estimating the parameters of the camera. In the second part, we will describe the consistency of objects across epipolar lines, and the feasibility of using line segment for initial correspondence verification. In the third part, we will describe a method for line segment extraction and the matching of line segments. Some typical experimental results are also presented to show the validity of our proposed method.
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  • Shigeyoshi Iizuka
    Article type: Article
    Session ID: BCS2000-74
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Motion-picture analysis targeting the movements of people has been the subject of much research for some time. Some of this research has focused on the automatic video recording of lectures where the movement of the lecturer, the "lecture facilitator, " must be recognized and the recording cameras controlled on the basis of that movement. In a lecture archive system, the processing performed for recognizing the state of the lecturer consists of three stages. These are "lecturer-image recognition" to determine the position of various body components of the lecturer; "lecturer-basic-movement recognition" to determine the state of each component as obtained from lecturer-image recognition; and "lecture-state judgment" to determine the state of the lecturer according to the combination of component states as obtained from lecturer-basic-movement recognition. This paper reports on the results of experiments performed to compare several recognition techniques with the aim of establishing techniques for two of these stages, namely, lecturer-image recognition and lecturer-basic-movement recognition.
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  • Shigeyuki Sakazawa, Yasutoshi Watanabe, Yasuhiro Takishima, Masahiro W ...
    Article type: Article
    Session ID: BCS2000-75
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    Layered video multicast can provides receiving clients with appropriate video streams according to their network bandwidth and available CPU resources. First, we will propose a packet format to transport layered data, each of which belongs to separate multicast group. Then, a client configuration and its operation is fully described. As for control of the client, it is also proposed to observe a variance of decoding time for each I-frame, and is shown that the control method based on the observation gives good performance.
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  • Kenji ESUMI, Hironori YAMAUCHI, Noriko NAKAMURA, Hisae HISHIKI
    Article type: Article
    Session ID: BCS2000-76
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
    A sophisticated group working system for the VLSI system design was developed on MPEG2 multimedia environment over a Giga-bit QoS-LAN. This system has the excellent point which supports the VLSI design group working, the VLSI design remote education, and the video library production totally by using the MPEG2 image and voice integratively. To make this system powerful, many useful ideas are proposed focused on designers who are on the different place can share the VOD images, each other's working images, and required design and simulation data for a target VLSI design. And, the environment to carry the VLSI design education for many designers on the different places efficiently is provided too. In this paper, the outline of this system and some realization technologies are described.
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  • Article type: Appendix
    Pages App1-
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • Article type: Cover
    Pages Cover2-
    Published: December 14, 2000
    Released on J-STAGE: June 23, 2017
    CONFERENCE PROCEEDINGS FREE ACCESS
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