计算机工程与应用2011，Vol.47Issue(22)：198-202,5.DOI:10.3778/j.issn.1002-8331.2011.22.055
综合颜色和轮廓曲线特征的图像检索方法研究
Image retrieval method research based on composite of color and contour curve features
摘要
Abstract
For the overall contourlet transform is redundant and the wavelet transform cannot efficiently take advantage of the fact that the edges usually found in natural images are smooth curves.In this paper,a new image coding scheme is pre-sented.The wavelet transform is applied to original image,and the directional filter banks(DFB) are employed to middle and high frequency subbands;The visual gains are achieved by exploiting HVS characteristics to weigh wavelet coefficients according to their perceptual importance; the new extended spatial orientation tree are constructed.The lower frequency exploit a new partitioning structure based on the importance of coefficients.The experiment results show that the modified image compression scheme provides higher perceptual quality and higher PSNR than SPIHT and WBCT,especially at low bit rates.关键词
主聚类/图像检索/轮廓曲线Key words
image coding/contourlet/human visual masking characteristics/SPIHT分类
信息技术与安全科学引用本文复制引用
陈文兵,李齐周,王霞,杨建伟..综合颜色和轮廓曲线特征的图像检索方法研究[J].计算机工程与应用,2011,47(22):198-202,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60973157) （the National Natural Science Foundation of China under Grant No.60973157）
