基于梯度信息的快速分形图像编码
Journal: Advances in Computer and Autonomous Intelligence Research DOI: 10.12238/acair.v2i2.7362
Abstract
为了减少分形编码计算复杂度,本文提出基于梯度信息的快速分形编码算法。首先,计算值域块和码本的梯度幅值和。然后,对任意值域块,将特征空间中最近邻的若干定义域块作为候选块集合。最后,最佳匹配定义域块将在候选块集合中进行块匹配操作得到。实验结果表明,与传统分形编码算法相比,本文算法能够在解码图像峰值信噪比损失约0.6dB的情况下,将编码速度提高约10倍。
Keywords
分形图像编码;梯度;解码图像质量
Funding
衡水学院校级协同创新专项课题—衡水湖湿地遥感监测中图像降噪技术的研究(2022XJZX19)。
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[3] Fisher Y.Fractal Image Compression: Theory and Applic ation[M].Springer-Verlag,1994.
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