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Improved Run-Length Coding for Gray Level Images Using Gouraud Shading Method

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 72))

Abstract

While improving compression ratio is a persistent interest in image representation, the encoding and decoding time is critical in some applications such as real-time image retrieval and communication. Based on the Run-Length Coding (RLC) and the Gouraud shading method, an Improved Run-Length Coding (IRLC) for gray level images is presented in this paper. The theoretical analysis and the experimental studies illustrate that the IRLC is superior to the S-Tree Compression (STC) in respect of the encoding and decoding time, without the compromises of the bit rates and the image quality.

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Huang, W., Chen, S., Zheng, G. (2010). Improved Run-Length Coding for Gray Level Images Using Gouraud Shading Method. In: Luo, Q. (eds) Advances in Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14350-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-14350-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14349-6

  • Online ISBN: 978-3-642-14350-2

  • eBook Packages: EngineeringEngineering (R0)

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