基于静电场原理的图像分辨率增强算法

Algorithm for Image Resolution Enhancement Based on Static Electric Field Theory

根据静电场的平衡原理,提出了图像分辨率的增强算法,其内插函数随相邻像素的电势能差和所处的能量带可以自动调节,从而实现了图像的自适应放大.在对彩色图像放大中,算法模型考虑了各个色彩分量对图像插值产生的影响,克服了常规方法对整幅图像无区别,以及采用同一种内插函数进行处理时所带来的边缘模糊效应和阶梯形失真,同时又消除了对各个颜色分量分别处理所产生的颜色失真现象.试验的各个性能指标表明,该算法与传统方法相比,插值后得到的图像不仅在图像质量上有明显的改善,而且能保持清晰的边缘和轮廓信息,因此可在遥感图像、医学系统、公安系统及一些图像处理的软件中得到应用.

Based on the balance principle of static electric field, a new algorithm for image resolution enhancement is proposed, where the interpolation function is adjusted automatically by the electrical potential differences of the adjoining pixels or/and energy zones to obtain self-adapted magnify color images,and the effects of all color vectors in the image interpolation are considered instead of a single interpolation function in the conventional algorithms to avoid the disadvantages, such as marginal vagueness, distortion and distinct artifacts, color distortion. The experimental results show that the images processed with the interpolation algorithm have better quality than those in the traditional ways and keep clear margin and contour information, especially for remote sensing image, medical system, and public security official system.