Fractal image coding combined with subband decomposition

K. Sawada, Shin-ya Nagai, E. Nakamura
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引用次数: 2

Abstract

In order to improve the performance of fractal image coding, this paper proposes a new coding scheme which is combined with subband image decomposition. In the proposed scheme, an input image is first decomposed to low and high resolution components by subband decomposition. The fractal block coding with adaptive range block size is performed only for the lowest resolution component. On the other hand, direct quantization and entropy coding are carried out for the other resolution components. The residual difference between reconstructed and original lowest resolution components is also quantized and entropy coded in order to enhance the coding performance. The computer simulation results show that the proposed coding scheme gives higher SNR (signal-to-noise ratio) values and better reconstructed image qualities compared to the conventional fractal block coding scheme.
分形图像编码与子带分解相结合
为了提高分形图像的编码性能,提出了一种结合子带图像分解的分形图像编码方案。在该方案中,首先通过子带分解将输入图像分解为低分辨率和高分辨率分量。仅对最低分辨率分量进行自适应范围块大小的分形块编码。另一方面,对其他分辨率分量进行直接量化和熵编码。为了提高编码性能,还对重构后的最小分辨率分量与原始分量的残差进行了量化和熵编码。计算机仿真结果表明,与传统的分形分组编码方案相比,该编码方案具有更高的信噪比和更好的重构图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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