In order to improve the visual effect of image under low illumination, a new method for measuring the comfortable chromaticity range of plane image is proposed. A low illuminance plane image enhancement denoising model is established. After solving the model through the joint bilateral filtering algorithm, combined with the entropy image compensation method, the details of the low illuminance plane image after enhancement denoising are compensated, the color space of the processed image is transformed from RGB to HSV, and the significant and non significant parts of the image chroma h are distinguished. After the chroma of the left and right views of the significant part is transformed, The comfortable chromaticity range of low illumination plane image is measured by subjective score plane saliency map. The experimental results show that the low illumination image after enhanced denoising is clearer, the blur is reduced, the comfortable chromaticity range of plane image can be measured, and the measurement error is low.
陈晨 , 梁霄.
低照度下平面图像舒适色度范围测定方法
[J]. 吉林化工学院学报, 2022, 39(5): 83-88.
CHEN Chen , LIANG Xiao.
Measuring Method for Comfortable Chromaticity Range of Plane Image under Low Illumination
. Journal of Jilin Institute of Chemical Technology, 2022, 39(5): 83-88.