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Tytuł artykułu

An Improvement to Image Segment Based on Human Visual System for Object-based Coding

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
A new segmentation technique that is suitable for object-based coding schemes is proposed in this paper. Focusing on DCT frequency coefficients, the proposed technique assigns each frequency coefficient a corresponding rate value according to the importance of edge information. On the other hand, it adopts frequency sensitivity and edge contrast information as well as the properties of the human visual system to weight each frequency coefficient. As a result, the segmentation technique proposed in this paper can effectively reveal the necessary significant edges that make up the shape of objects so as to further facilitate obtaining meaningful objects.
Słowa kluczowe
Wydawca
Rocznik
Strony
167--178
Opis fizyczny
Bibliogr. 10 poz., rys., wykr.
Twórcy
autor
  • Department of Management Information System, National Taichung Institute of Technology, Taichung, Taiwan, 404 R.O.C.
autor
  • Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, 621, R.O.C.
Bibliografia
  • [1] Chang, C. C., Shien, F. C., Chen, T. S.: Pattern-based Side Match Vector Quantization for Image Quantization, (To appear in The Imaging Science Journal.), 2002.
  • [2] Chitprasert, B., Rao, K. R.: Human Visual Weighted Progressive Image Transmission, IEEE Transactions on Communication, 38(7), Jul. 1990, 1040-1044.
  • [3] Lambrecht, C. J. B., Kunt, M.: Characterization of Human Visual Sensitivity for Video Imaging Applications, Signal Processing, 67, 1998, 255-269.
  • [4] Mannos, J. L., Sakrison, D. J.: The Effects of a Visual Fidelity Criterion on Encoding of Images, IEEE Transactions on Information Theory, IT-20, Jul. 1974, 525-536.
  • [5] Ngan, K. N., Leong, K. S., Singn, H.: Adaptive Cosine Transform Coding of Images in Perceptual Domain, IEEE Transactions on Acoustic and Signal Processing, 37(11), Nov. 1989, 1743-1749.
  • [6] Nill, N. B.: A Visual Model Weighted Cosine Transform for Image Compression and Enhancement, IEEE Transactions on Communication, 33(6), 1985, 83-128.
  • [7] Avaro, O., Eleftheriadis, A., Herpel, C., Rajan, G., Ward, L.: MPEG-4: System Overview, Signal Processing: Image Communication,15, 2000, 281-298.
  • [8] Rao, K. R., Hwang, J. J.,: Techniques and Standards for Image, Video and Audio Coding, Prentice-Hall, Englewood Cliffs, NJ, 1996.
  • [9] Shen, B., Sethi, K.: Convolution-based Edge Detection for Image/Video in Block DCT Domain, Journal of Visual Communication and Image Representation,7(4), 1996, 411-423.
  • [10] Suthaharan, S.: Image and Edge Detail Detection Algorithm for Object-based Coding, Pattern Recognition Letters,21, 2000, 549-557.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS2-0004-0166
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