Image Enhancement using Perturbed Sub-block Phase-only Synthesis

构造了一种新的图像增强技术。扰动相位合成（POS）在这里开发的是利用这种技术。作为一个应用实例，我们提出了一个创新的逆图像恢复滤波器与扰动相位只有综合增强。严格地说，几乎所有的相机镜头，包括变焦镜头都是特殊的。因此，需要空间变化滤波器来恢复图像。我们已经开发了一个空间变化的图像恢复滤波器与创新的点扩散函数（PSF）的估计。详细分析了真实的透镜点扩散函数的形状，并利用真实的透镜点扩散函数的性质进行了点扩散函数的估计，其代价函数为纯相位合成中图像边缘线的锐度。一旦估计出POS，就可以很容易地设计出最优图像恢复滤波器。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，我们构建了一个图像边缘锐化恢复图像作为后处理。通常锐化对于恢复图像不是那么有效，因为它增加了由恢复滤波器抑制的噪声。但由于受扰动的POS，情况并非如此，受扰动的POS具有抑制噪声的边缘锐化性质。因此，它是非常有效的，几乎所有的图像恢复滤波器。仿真实例表明，该方法对恢复滤波器的性能有很大的改善。

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.