ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
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21.72
Displaying 1-10 of 10 articles from this issue
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  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • Reversible DCT and It's Application to Image Coding
    Kunitoshi KOMATSU, Kaoru SEZAKI
    Article type: Article
    Pages 1-6
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this paper, we propose a reversible discrete cosine transform. The transform and inverse transforms are represented by simple equations so that the amount of computations is very small. If floor functions are ignored, the proposed transform is exactly the same as DCT. No redundancy exists in transform domain, since the determinant is equal to 1,that is the density of transformed points is equal to 1. Furthermore, the transform is normalized so that we can avoid the problem that dynamic range is nonuniform. The lossless and lossy compression efficiencies of the proposed method are compared with conventional methods in consideration of it's application to unified lossless and lossy coding of still images. It is shown that lossless compression efficiency of the proposed method is almost the same as reversible wavelet transform and lossy one is almost the same as reversible wavelet transform and discrete cosine transform.
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  • Hierarchical Fractal Coding for Color Images
    Katsuhiko Nakano, Masahiro Nakagawa
    Article type: Article
    Pages 7-12
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_7
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We discuss on the hierarchical coding scheme of fractal image coding, and apply it to color image compression. This hierarchical scheme is based on the Gaussian pyramid. Therefore, we can compress the original images effectively on the grounds of different frequency subband division of the images. This hierarchical structure results in repression of block distortion as progressive decode. Then, we consider a spatial contraction of its affine-transformation and a fractal expansion decoding of color components. By the effective compression of color components, we can obtain fairly good decoded images at 1.0 bit/pel.
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  • A Hierarchical Scheme of Predictive Transform Image Coding
    Makoto KOBAYASHI, Masahiro NAKAGAWA
    Article type: Article
    Pages 13-18
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_13
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In order to reduce the blocking distortion on the conventional transform coding, the original image is divided into overlapped blocks. Then hierarchical images are constructed by their blocks. In this report, we propose a hierarchical scheme of predictive transform image coding which predicts the midpoint values, transforms the residual errors in terms of the discrete sine functions, and quantizes its transformed coefficients. Further we present an adaptive method of adaptive bit allocation to improve reconstructed image. In this method, the reconstructed image is found to be improved about 1.5 [dB] in comparison with without adaptive strategy. It is also confirmed that we can obtain an efficient subjective quality of the reconstructed image with less block distortion.
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  • Generation of high resolution image from low resolution image
    Hidetaka Yosumi, Qian Chen, Kunihiro Chihara
    Article type: Article
    Pages 19-24
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_19
    CONFERENCE PROCEEDINGS FREE ACCESS
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    Digital images have come into wide use recently. Digital images are processed easily on computer. But it is difficult to enlarge them beautifully unlike silver films. Therefore, a good way of enlarging digital images beautifully and naturally is required. This report describes the image enlargement taking account of the energy value. The energy value is the intensity of illumination that decide a value of each pixel. We presume that all images are gotten through image pickup tube and device. We propose a new method to take account of each pixel information of given images in image enlargement.
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  • A Restoration and An Estimationof Various Moduration Images by Two Dimensional Visual Model (III)
    Junji KAWASAKI, Hiroshi HAYASHI, Akira HAYASHI, Taizo IIJIMA
    Article type: Article
    Pages 25-32
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_25
    CONFERENCE PROCEEDINGS FREE ACCESS
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    By operating on a binary black and white image with on ordered dither method, it appears, to our visual senses, to become clearer because of a pseudo halftone. This is because when we don't notice of all the details of the images, instead we see from a more global stand point. We investigated our one-dimensional visual information processing model. We presented a theory and experimented results for a layered model which extended external world, retina and brain. This paper represent the restoration image of the pulse density modulation of two-dimensional visual information processing model and we be able to estimate the subjective good and bad of the pulse density modulated image by approximated degree, further we are clear the validity of this model.
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  • A Study on Motion Recognition of Persons
    Tomohiko Shindoh, Shin-ichi Murakami
    Article type: Article
    Pages 33-38
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_33
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In computer vision, it is an important problem to extract moving objects from image sequences and to recognize them. However, it is difficult to extract moving objects from image sequences picked up by a moving camera in such as zooming or panning motions because the background scenes are also in motion. This paper describes a method of extracting objects from moving images and recognizing the motion of them on the assumption that object image is restricted to a person
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  • A Study on Automatic Classification Method of Pictures
    Hidenori SAITOH, Shin-ichi MURAKAMI
    Article type: Article
    Pages 39-44
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_39
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The purpose of this theme is a construction of an image-database whose images can be efficiently retrieved by recognized contents of images. The method of describing the content of images by their patterns and sensuous commands is studied. In this paper, the object images are selected from famous pictures and object extraction and shape description methods of images are reported.
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  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: November 27, 1997
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.21.72.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
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