A Lossless Hybrid Coding Scheme for Computer Cartoon Images
This paper presents a lossless hybrid coding scheme for compressing computer cartoon images, such as those used in TV cartoon programs and computer games. Such images are usually composed of simple multi-color characters/graphs and complicated full-color backgrounds. The hybrid coding scheme is base...
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Published in | The Journal of the Institute of Television Engineers of Japan Vol. 50; no. 10; pp. 1507 - 1514 |
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Main Authors | , |
Format | Journal Article |
Language | Japanese |
Published |
The Institute of Image Information and Television Engineers
20.10.1996
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Subjects | |
Online Access | Get full text |
ISSN | 0386-6831 1884-9652 |
DOI | 10.3169/itej1978.50.1507 |
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Abstract | This paper presents a lossless hybrid coding scheme for compressing computer cartoon images, such as those used in TV cartoon programs and computer games. Such images are usually composed of simple multi-color characters/graphs and complicated full-color backgrounds. The hybrid coding scheme is based on the basic principle of Structure Runlength Coding (SRC) and is combined with prediction coding. It solves two main problems in the conventional methods : that SRC cannot cope with the complicated full-color regions and that predictive DPCM coding cannot efficiently compress the simple multi-color regions. Through an evaluation of entropy, we prove that our hybrid coding scheme is superior to the conventional methods at compressing these computer cartoon images. Compared with an adaptive DPCM coding, our hybrid coding can decrease the entropy by about 1 bit per pixel on average. Compared with SRC, it can decrease the entropy up to 5 bits per pixel in the case of complicated backgrounds. An experimental result shows high compression ratios. |
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AbstractList | This paper presents a lossless hybrid coding scheme for compressing computer cartoon images, such as those used in TV cartoon programs and computer games. Such images are usually composed of simple multi-color characters/graphs and complicated full-color backgrounds. The hybrid coding scheme is based on the basic principle of Structure Runlength Coding (SRC) and is combined with prediction coding. It solves two main problems in the conventional methods : that SRC cannot cope with the complicated full-color regions and that predictive DPCM coding cannot efficiently compress the simple multi-color regions. Through an evaluation of entropy, we prove that our hybrid coding scheme is superior to the conventional methods at compressing these computer cartoon images. Compared with an adaptive DPCM coding, our hybrid coding can decrease the entropy by about 1 bit per pixel on average. Compared with SRC, it can decrease the entropy up to 5 bits per pixel in the case of complicated backgrounds. An experimental result shows high compression ratios. |
Author | Nakajima, Masayuki Liu, Yu |
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References | 4) M. Nakajima, N, Someya : “A Study on CG Image Coding Using Wavelet Transform”, Proc. IEICE. Spring Conf. D-312 (Mar. 1994 5) Y. Arai, T. Agui and M. Nakajima : “Structure Runlength Coding For Digital Image”, IECE Japan, E69, 11, pp.1225-1230 (1986 8) Cheng C. Lee : “Lossless Adaptive Differential Coding of Images”, Proc. SPIE, 2418, Still Image Coding, pp.2-7 (1995 11) Y. Liu, H. Takahashi, M. Nakajima : “Compression of Animation Using 3D Structure Runlength Coding”, Journal of ITEJ, 50, 6, pp.117-123 (Tune 19961 1) Michel J. Denber and Paul M. Turner : “A Differential Compiler for Computer Animation”, Proc. SIGGRAPH'86, 20, pp.18-22 (1986 3) Hironori Domen, et al. : “A Study on Functional CodingMethod for Traditional Cel Animation”, Proc. IEICE General Conference, D-221, P9 (Mar. 1996 9) J. Ziv and A. Lempel : “A Universal Algorithm for Sequential Data Compression”, IEEE Transactions on Information Theory ”, 23, 3, pp.337-343 (1977 10) J. Ziv and A. Lempel : “Compression of Individual Sequences via Variable-rate Coding”, IEEE Transactions onInformation Theory, 24, 5, pp.530-536 (1978 2) U. Ikuro, S. Takahashi, T. Naoto and F. Ono : “Markov Model Coding of Palette Images Arithmetic MELCODE”, Proc. IEICE. Spring Conf. D-274 (Mar. 1994 12) Thomas Riegel : “Coding of Combined Natural and Computer Rendered Image Sequences”, Proc. SPIE, 2451, pp.207-211 (1995 6) N. Ono, Y. Yashima : “A Study of Lossless Coding Using Motion Compensation” Proc. IEICE, D-108 (Sep. 1995 7) Nasir D. Memon, Khalid Sayood : “Lossless Image Compression : A Comparative Study”, Proc. SPIE, 2418, pp.8-20 (1995 |
References_xml | – reference: 9) J. Ziv and A. Lempel : “A Universal Algorithm for Sequential Data Compression”, IEEE Transactions on Information Theory ”, 23, 3, pp.337-343 (1977) – reference: 6) N. Ono, Y. Yashima : “A Study of Lossless Coding Using Motion Compensation” Proc. IEICE, D-108 (Sep. 1995) – reference: 4) M. Nakajima, N, Someya : “A Study on CG Image Coding Using Wavelet Transform”, Proc. IEICE. Spring Conf. D-312 (Mar. 1994) – reference: 10) J. Ziv and A. Lempel : “Compression of Individual Sequences via Variable-rate Coding”, IEEE Transactions onInformation Theory, 24, 5, pp.530-536 (1978) – reference: 2) U. Ikuro, S. Takahashi, T. Naoto and F. Ono : “Markov Model Coding of Palette Images Arithmetic MELCODE”, Proc. IEICE. Spring Conf. D-274 (Mar. 1994) – reference: 8) Cheng C. Lee : “Lossless Adaptive Differential Coding of Images”, Proc. SPIE, 2418, Still Image Coding, pp.2-7 (1995) – reference: 12) Thomas Riegel : “Coding of Combined Natural and Computer Rendered Image Sequences”, Proc. SPIE, 2451, pp.207-211 (1995) – reference: 3) Hironori Domen, et al. : “A Study on Functional CodingMethod for Traditional Cel Animation”, Proc. IEICE General Conference, D-221, P9 (Mar. 1996) – reference: 11) Y. Liu, H. Takahashi, M. Nakajima : “Compression of Animation Using 3D Structure Runlength Coding”, Journal of ITEJ, 50, 6, pp.117-123 (Tune 19961 – reference: 5) Y. Arai, T. Agui and M. Nakajima : “Structure Runlength Coding For Digital Image”, IECE Japan, E69, 11, pp.1225-1230 (1986) – reference: 1) Michel J. Denber and Paul M. Turner : “A Differential Compiler for Computer Animation”, Proc. SIGGRAPH'86, 20, pp.18-22 (1986) – reference: 7) Nasir D. Memon, Khalid Sayood : “Lossless Image Compression : A Comparative Study”, Proc. SPIE, 2418, pp.8-20 (1995) |
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Snippet | This paper presents a lossless hybrid coding scheme for compressing computer cartoon images, such as those used in TV cartoon programs and computer games. Such... |
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StartPage | 1507 |
SubjectTerms | computer cartoon images image compression and coding predictive DPCM coding structure runlength coding |
Title | A Lossless Hybrid Coding Scheme for Computer Cartoon Images |
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