一种自适应分数阶偏微分图像增强模型

针对传统的自适应分数阶偏微分方程图像增强算法对图像暗区纹理区域的增强不足的缺点,考虑到人眼对光感的敏感程度不同,将亮度对视觉的影响因素考虑进传统的自适应分数阶偏微分方程图像增强算法。以梯度和灰度值为参数,建立了一种新的自适应分数阶偏微分图像增强模型。该模型改善了传统算法对暗区图像增强不足的缺点,图像增强后的平均梯度提升明显,很好地改善了图像的视觉效果。实验结果说明本算法具有一定的有效性。

An adaptive fractional-order partial differential image enhancement model

Aiming at the shortcoming that the conventional adaptive image enhancement algorithms based on fractional order partial differential equations have not good enhance performance on the dark texture region, taking into account the different sensitivity of the human eye to the light sensation, the impact of brightness on vision is combined with the conventional adaptive image enhancement algorithms based on fractional order partial differential equations. A new adaptive fractional order partial differential image enhancement model is established by using the gradient and gray value as parameters, which improves the shortcoming of the previous model in enhancing the dark region image. The average gradient of the enhanced image is increased significantly and the image’s visual effect is improved superiorly, which shows that the proposed algorithm has some validity.