计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 278-280.doi: 10.11896/j.issn.1002-137X.2014.08.058
王瑞霞,彭国华,郑红婵
WANG Rui-xia,PENG Guo-hua and ZHENG Hong-chan
摘要： 由于稀疏编码中过完备的码本和独立的编码处理,在编码过程中图像块相似性信息被丢失。为了保留块与块之间的相似性信息,提出了拉普拉斯稀疏编码的图像检索算法。给定编码特征的初始稀疏码,计算拉普拉斯矩阵,将相似性合并到稀疏目标函数,结合特征符号搜索算法和黄金分割线搜索算法,逐个更新每个稀疏编码系数。实验表明,拉普拉斯稀疏编码增强了稀疏编码的鲁棒性,与SPM模型算法相比,拉普拉斯稀疏编码的图像检索算法有较高的准确率。
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