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 inThe Journal of the Institute of Television Engineers of Japan Vol. 50; no. 10; pp. 1507 - 1514
Main Authors Liu, Yu, Nakajima, Masayuki
Format Journal Article
LanguageJapanese
Published The Institute of Image Information and Television Engineers 20.10.1996
Subjects
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ISSN0386-6831
1884-9652
DOI10.3169/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.
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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SourceType Publisher
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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