在这篇文章,评估颜色图象的质量的一个新方法被建议,在哪个人的视觉心理学,客观忠实,边信息,和颜色失真的性质将通过利用 3-D 被联合矩阵变换。在那里存在在一种颜色的三个不同框架之间的颜色冗余性和结构的类似想象,视觉性质的定义将被 3-D 次矩阵集成变换测量(坐) ,在哪个三个颜色部件集成于一个模型和颜色冗余性能充分被利用。模拟结果证明措施索引与视觉性质一致很有效、客观。
In this article, a new way to evaluate the quality of color images is proposed, in which the properties of human vision psychology, objective fidelity, edge information, and color distortion will be combined through utilizing 3-D matrix transform. There exists color redundancy and structural similarity between three different frames of a color image, the definition of vision properties will be measured by 3-D submatrix integration transform (SIT), in which three color components are integrated into one model and color redundancy can be exploited fully. The simulation results show that the measure index is very effective and objective in accord with vision properties.