Image Enhancement using Perturbed Sub-block Phase-only Synthesis

构造了一种新的图像增强技术。该技术采用了扰动纯相合成(POS)技术。作为应用实例，我们提出了一种具有扰动纯相位合成增强的创新逆图像恢复滤波器。严格地说，包括变焦镜头在内的几乎所有相机镜头都是特殊的变体。因此，需要一个空间变量滤波器来恢复图像。提出了一种基于点扩展函数(PSF)估计的空间变异图像恢复滤波器。详细检查了真实镜头PSF的形状，并利用真实镜头PSF的性质对其进行了估计。PSF估计的代价函数是纯相位合成中图像边缘线的锐度。一旦估计了POS，就可以很容易地设计出最优的图像恢复滤波器。然而，由于去模糊和去噪之间的兼容性，图像恢复滤波器并不总是给出令人满意的结果。在这项工作中，我们构造了一种图像边缘锐化的恢复图像作为后处理。通常，锐化对于恢复的图像不是那么有效，因为它增加了由恢复过滤器抑制的噪声。但由于受干扰的POS机情况并非如此。受干扰的POS机具有边缘锐化和抑制噪声的特性。因此，它对于几乎所有图像恢复滤波器都是非常有效的。仿真实例表明，这对恢复滤波器有很大的帮助。

New image enhancement technique is constructed. The perturbed phase-only synthesis (POS) developed here is utilized in this technique. As an application example we present an innovating inverse image restoration filter with a perturbed phase-only synthesis enhancement. Strictly speaking, almost all camera lenses including zoom lenses are of special variant. Hence a spatial variant filter is needed for restoring the image. We have developed a spatial variant image restoration filter with an innovating estimation of the point spread function (PSF). The figure of a real lens PSF has been checked in detail and the nature of a real lens PSF is used for estimation of it. The cost function for the PSF estimation is a sharpness of the image edge line in the phase-only synthesis. Once if the POS was estimated the optimal image restoration filter can be designed easily. However an image restoration filter does not always give a satisfactory result because of the compatibility between deblurring and denoising. In this work we construct an image edge sharpening for the restored image as a post processing. Usually sharpening is not so effective for the restored image because it increases a noise suppressed by a restoration filter. But it is not the case here due to the perturbed POS.The perturbed POS has an edge sharpening nature with suppressing noise. Hence it is very effective foe almost all image restoration filters. The simulation examples show us that it is just much to the restoration filter.