基于反卷积的手机屏下成像图像恢复

Image restoration of mobile phone under-screen imaging based on deconvolution

随着全面屏手机的发展,手机屏下成像的研究应运而生。但由于手机屏幕存在电路走线和其他不透明部分,光通过屏幕会产生衍射,降低成像结果的图像质量,本文从图像复原的角度,对屏下相机拍摄的图像进行恢复。通过测量得到手机成像系统的点扩散函数(PSF),利用测得的PSF,对图像进行反卷积处理。本文改进了传统的反卷积方法,对原始图像进行颜色空间转换,然后对不同的通道分别处理。相较于传统反卷积方法,改进后的反卷积方法得到的处理结果在结构相似度(SSIM)、峰值信噪比(PSNR)等指标上都有提高,运行时间更短。在分通道反卷积之后,使用非局部平均算法进行去噪处理,进一步提高了屏下图像的质量。

With the development of full-screen mobile phones,the need for under-screen imaging of mobile phones has emerged.However,the diffraction caused by the wiring and other opaque parts will affect the image quality of the under-screen image.In this article,under-screen image is restored from the perspective of image restoration.The point spread function(PSF)of the mobile phone imaging system is obtained through actual measurement,and the image is deconvolved using the measured PSF.In this article,traditional deconvolution method has been improved,in which the color space of the image is converted and different channels are processed separately.Compared with the traditional deconvolution method,the results of the sub-channel deconvolution method have im-proved structural similarity(SSIM),peak signal-to-noise ratio(PSNR)and other indicators,and the required running time is shorter.After sub-channel deconvolution,the non-local averaging algorithm is used for denoising,which further improves the quality of the underscreen image.