双波段彩色融合图像色彩和谐性客观评价

针对现有的图像质量评价方法较少利用人眼视网膜和视觉皮层的颜色编码机制, 并且未能充分考虑图像色彩信息对图像质量的影响, 提出了一种基于多视觉特征的可见光(微光)与红外彩色融合图像色彩和谐性客观评价模型. 该模型在图像质量评估中融入了更多的颜色信息, 综合考虑多种人眼视觉特征包括视觉对立色彩特征、色彩信息波动特征和高级视觉内容特征, 经过特征融合和支持向量回归训练, 实现彩色融合图像的色彩和谐性客观评价. 采用3种典型场景融合图像数据库进行实验比较与分析. 实验结果表明, 与现有的8种图像质量客观评价方法相比, 所提出的方法与人眼主观感受更加一致, 具有较高的预测准确度.

Objective Assessment of Color Harmony in Dual-band Color Fused Images

The currently available quality assessment methods for images rarely fully utilize the color coding mechanisms of the retina of human eyes and the visual cortex and fail to fully consider the influence of color information on image quality. In this study, an objective assessment model for the color harmony of visible light (dim-light) and infrared color fused images based on multiple visual features is proposed to address the above problems. This model incorporates more color information into image quality assessment by considering a variety of visual features of human eyes comprehensively, including the feature of visual contrast colors, the feature of color information fluctuation, and the feature of advanced visual content. Through feature fusion and support vector regression training, it achieves the objective assessment of the color harmony of color fused images. Experimental comparisons and analyses are conducted using databases of fused images in three typical scenes. The experimental results show that compared with the existing eight methods of objective image quality assessment, the proposed method is more consistent with the subjective perception of human eyes and has higher prediction accuracy.