基于分形图像编码的超低比特率图像编码算法

M. Takezawa, M. Haseyama, H. Kitajima
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引用次数: 2

摘要

提出了一种用于无线通信的低比特率分形图像编码算法。分形图像编码以其较高的压缩性能而著称。这一性能对未来窄带无线通信具有重要意义。然而,为了使其成为一种强大的无线通信图像编码技术,必须提高其重构图像的质量。因此,为了进一步提高图像质量,提出了一种新的分形图像编码算法。仿真结果表明,该方法在0.12比特像素以下的低比特率下,重构的图像质量比JPEG高1.4 dB;在0.035 ~ 0.05比特像素以下的极低比特率下,重构的图像质量也比JPEG2000高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultra low bit-rate image coding algorithm based on fractal image coding
This paper proposes a low bit-rate fractal image coding algorithm for wireless communication. The fractal image coding is well known for its high compression performance. This performance is useful for future wireless communications with narrow-band. However, in order to become a powerful image coding technique for wireless communications, its reconstructed image quality must be improved. Therefore, to achieve further quality improvement, a novel fractal image coding algorithm is proposed. Some simulation results verify that the proposed method can reconstruct images with 1.4 dB higher quality than JPEG at low bit-rates below 0.12 bits pixel and also higher quality than JPEG2000 at very low bit-rates below 0.035-0.05 bits pixel.
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