关键词: 小波分解, 多分辨率分析, 高频系数, 低频系数, 方向对比度, 区域标准差

Abstract: A new multi-resolution analysis fusion algorithm introducing directional contrast and region window standard deviation is proposed, which considers the correlation between approximation and details. Weighted factors are adaptively adjusted to gain fused low frequency parts, meanwhile, directional  contrast maximum and local small window standard deviation maximum are respectively adopted to form fused high frequency parts from decomposed details. Experiments show that fused image using the new algorithm considering the correlation between decomposed low frequency and high frequency coefficients is prior to that of other algorithms focusing on merging these coefficient separately regardless of visual effect or objective assessment metrics. In contrast, the fused image by the new algorithm is rich in information, features are clear, greatly enhancing contrast, improving spatial resolution and retaining spectral information of original images. Obviously, it is feasible and effective.

Key words: wavelet decomposition, multi-resolution analysis, high frequency coefficient, low frequency coefficient, directional contrast, region standard deviation