基于小波域灰度梯度共生矩阵的遥感影像模糊度分析

Blur Level Analysis of Remote Sensing Image Based on Gray Gradient Cooccurrence Matrix in Wavelet Domain

在分析小波域灰度梯度共生矩阵对梯度特性描述的基础上,设计了一种模糊度评价指标.在遥感影像小波域统计特性,即不同子带对噪声和模糊敏感程度不同的基础上,设计了一种抗噪声的遥感影像模糊度评价指标.实验表明:该指标与图像的实际模糊度水平一致性强,能准确评价遥感影像的模糊度水平.

An index for blur assessment was proposed based on gradient analysis of gray gradient cooecurrence matrix in wavelet domain. Based on the natural scene statistical feature of remote sensing image, the means of different sensitivity for noise and blur in different wavelet subbands, an antinoise blur assessment index was designed for remote sensing images. The experiment shows that the proposed index has high coherence with real blur intensity and can make an effective and correct evaluation of blur level for remote sensing images.